ASUS System Product Name
Geekbench AI Score
39576
Single Precision Score
53524
Half Precision Score
30181
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 14 2025 08:11 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E HERO |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 8 Cores |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14406
2.68 KIPS |
|
|
Image Classification (HP)
|
99% |
18710
3.49 KIPS |
|
|
Image Classification (Q)
|
100% |
12353
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23140
375.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
29274
474.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
22209
361.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
330967
386.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
558720
651.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
285754
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
20204
1.60 KIPS |
|
|
Object Detection (HP)
|
100% |
25907
2.05 KIPS |
|
|
Object Detection (Q)
|
86% |
16917
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
54412
646.5 IPS |
|
|
Face Detection (HP)
|
100% |
68018
808.2 IPS |
|
|
Face Detection (Q)
|
97% |
45175
538.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
103133
794.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
165427
1.27 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75121
600.8 IPS |
|
|
Style Transfer (SP)
|
100% |
597098
767.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1112428
1.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
507315
654.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
62385
2.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
81695
3.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46534
1.72 KIPS |
|
|
Text Classification (SP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (HP)
|
99% |
4419
5.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2234
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
5520
95.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2642
49.5 IPS |
