ASUS System Product Name
Geekbench AI Score
7947
Single Precision Score
2638
Half Precision Score
13357
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | July 09 2025 02:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6649
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
787
146.3 IPS |
|
|
Image Classification (Q)
|
99% |
14074
2.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2889
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5490
89.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17296
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
13107
15.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
64098
75.2 IPS |
|
|
Object Detection (SP)
|
100% |
6357
504.2 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
86% |
16450
1.32 KIPS |
|
|
Face Detection (SP)
|
100% |
12202
145.0 IPS |
|
|
Face Detection (HP)
|
100% |
2459
29.2 IPS |
|
|
Face Detection (Q)
|
97% |
16359
195.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
19893
153.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3781
29.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
33724
269.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36963
47.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30770
39.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54488
70.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4838
178.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5759
213.2 IPS |
|
|
Text Classification (SP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
985
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
65% |
5682
114.2 IPS |
