ASUS System Product Name
Geekbench AI Score
9477
Single Precision Score
9482
Half Precision Score
22540
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 07 2025 05:21 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D 16-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5243
975.1 IPS |
|
|
Image Classification (HP)
|
100% |
5093
947.1 IPS |
|
|
Image Classification (Q)
|
100% |
13279
2.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7076
114.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7076
114.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
19559
317.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15839
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15987
18.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
62180
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
5813
461.1 IPS |
|
|
Object Detection (HP)
|
100% |
5617
445.5 IPS |
|
|
Object Detection (Q)
|
88% |
14464
1.16 KIPS |
|
|
Face Detection (SP)
|
100% |
14591
173.4 IPS |
|
|
Face Detection (HP)
|
100% |
14437
171.5 IPS |
|
|
Face Detection (Q)
|
100% |
36869
438.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
16009
123.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
16398
126.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
43286
336.9 IPS |
|
|
Style Transfer (SP)
|
100% |
40972
52.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41312
53.1 IPS |
|
|
Style Transfer (Q)
|
98% |
144913
186.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8234
304.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8388
309.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23659
876.2 IPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3732
4.98 KIPS |
|
|
Text Classification (Q)
|
92% |
4211
5.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5959
102.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5932
102.2 IPS |
|
|
Machine Translation (Q)
|
100% |
6290
108.3 IPS |
