ASUS System Product Name
Geekbench AI Score
35313
Single Precision Score
51359
Half Precision Score
27092
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 13 2025 11:45 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% |
12981
2.41 KIPS |
|
|
Image Classification (HP)
|
99% |
18273
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
11233
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25368
411.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
33904
549.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22977
373.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
260218
303.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
492926
575.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
233001
273.0 IPS |
|
|
Object Detection (SP)
|
100% |
17215
1.37 KIPS |
|
|
Object Detection (HP)
|
100% |
24339
1.93 KIPS |
|
|
Object Detection (Q)
|
85% |
14767
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
51353
610.2 IPS |
|
|
Face Detection (HP)
|
100% |
68786
817.3 IPS |
|
|
Face Detection (Q)
|
97% |
43608
520.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
83099
640.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
142794
1.10 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63593
507.8 IPS |
|
|
Style Transfer (SP)
|
100% |
392250
504.2 IPS |
|
|
Style Transfer (HP)
|
100% |
878793
1.13 KIPS |
|
|
Style Transfer (Q)
|
98% |
342841
442.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54290
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73244
2.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41055
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4298
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2164
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
6437
110.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6323
108.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2840
53.3 IPS |
