ASUS System Product Name
Geekbench AI Score
35356
Single Precision Score
51864
Half Precision Score
27229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Ausbalanciert |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13007
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
18105
3.38 KIPS |
|
|
Image Classification (Q)
|
100% |
11320
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24522
397.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
34255
555.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
22803
370.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
261421
305.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
492883
575.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
233692
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
17524
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
24824
1.97 KIPS |
|
|
Object Detection (Q)
|
85% |
15012
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
51754
615.0 IPS |
|
|
Face Detection (HP)
|
100% |
69416
824.8 IPS |
|
|
Face Detection (Q)
|
97% |
43817
522.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83515
643.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
151697
1.17 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63882
510.1 IPS |
|
|
Style Transfer (SP)
|
100% |
393749
506.2 IPS |
|
|
Style Transfer (HP)
|
100% |
881662
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
344054
443.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54547
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73865
2.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41498
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4259
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2165
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6422
110.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6354
109.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2860
53.6 IPS |
