PC with i9900k / RTX4090 Generic
Geekbench AI Score
27619
Single Precision Score
36257
Half Precision Score
21640
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | mvodya |
| Upload Date | February 03 2025 08:01 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Generic |
| Motherboard | ASRock Z390 Taichi |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10434
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
14372
2.68 KIPS |
|
|
Image Classification (Q)
|
100% |
8533
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12613
204.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14411
233.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11995
195.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
270692
315.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
430938
502.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
239822
281.0 IPS |
|
|
Object Detection (SP)
|
100% |
13207
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
16773
1.33 KIPS |
|
|
Object Detection (Q)
|
86% |
11235
902.6 IPS |
|
|
Face Detection (SP)
|
100% |
33711
400.6 IPS |
|
|
Face Detection (HP)
|
100% |
38583
458.5 IPS |
|
|
Face Detection (Q)
|
97% |
28925
344.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
80440
619.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
125770
969.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
60664
485.2 IPS |
|
|
Style Transfer (SP)
|
100% |
465652
598.6 IPS |
|
|
Style Transfer (HP)
|
100% |
799666
1.03 KIPS |
|
|
Style Transfer (Q)
|
98% |
407791
525.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46518
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
62144
2.29 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35127
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3110
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
3720
4.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1802
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3006
51.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2924
50.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1803
33.8 IPS |
