ASUS System Product Name
Geekbench AI Score
38717
Single Precision Score
53135
Half Precision Score
29136
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | EAG |
| Upload Date | November 12 2025 06:27 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII HERO (WI-FI) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13769
2.56 KIPS |
|
|
Image Classification (HP)
|
99% |
17798
3.32 KIPS |
|
|
Image Classification (Q)
|
100% |
11423
2.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25160
407.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
33150
537.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
22801
370.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
319309
372.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
572434
667.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
275997
323.4 IPS |
|
|
Object Detection (SP)
|
100% |
18994
1.51 KIPS |
|
|
Object Detection (HP)
|
100% |
24527
1.95 KIPS |
|
|
Object Detection (Q)
|
86% |
15680
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
54070
642.5 IPS |
|
|
Face Detection (HP)
|
100% |
70344
835.8 IPS |
|
|
Face Detection (Q)
|
97% |
46980
560.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
100225
772.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
157812
1.22 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72734
581.7 IPS |
|
|
Style Transfer (SP)
|
100% |
567457
729.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1094445
1.41 KIPS |
|
|
Style Transfer (Q)
|
98% |
482146
621.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58097
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75304
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42924
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3342
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
4004
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2051
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
6034
103.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5912
101.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2697
50.6 IPS |
