NVIDIA Studio 572.16 Overclocking Auto NVIDIA APP OFF ASRock X670E Taichi Carrara
Geekbench AI Score
37780
Single Precision Score
51209
Half Precision Score
28760
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | usaurioRAWR |
| Upload Date | February 04 2025 06:51 PM |
| Views | 4 |
| Notes | BIOS 3.18.AS01[Beta] / AMD chipset driver version 7.01.08.129 / GeForce RTX™ 4090 SUPRIM X 24G / NVIDIA Studio Driver: 572.16 / Overclocking Auto NVIDIA APP OFF; GPU: + 0 MHz | VRAM: + 0MHz |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Taichi Carrara |
| Motherboard | ASRock X670E Taichi Carrara |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13525
2.52 KIPS |
|
|
Image Classification (HP)
|
99% |
17507
3.27 KIPS |
|
|
Image Classification (Q)
|
100% |
11683
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22961
372.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
28667
464.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
21518
349.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
314189
366.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
533846
622.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
272052
318.8 IPS |
|
|
Object Detection (SP)
|
100% |
18995
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24393
1.93 KIPS |
|
|
Object Detection (Q)
|
86% |
16008
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
52988
629.6 IPS |
|
|
Face Detection (HP)
|
100% |
66149
786.0 IPS |
|
|
Face Detection (Q)
|
97% |
44869
535.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
98311
757.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
156425
1.21 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71200
569.4 IPS |
|
|
Style Transfer (SP)
|
100% |
566305
728.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1073704
1.38 KIPS |
|
|
Style Transfer (Q)
|
98% |
479324
618.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59015
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77937
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43988
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3402
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
4125
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2101
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5397
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5313
91.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2499
46.9 IPS |
