ASUS System Product Name
Geekbench AI Score
3336
Single Precision Score
813
Half Precision Score
4397
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | June 26 2025 04:41 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS X570-ACE |
| Power Plan | Hoge prestaties |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1512
281.1 IPS |
|
|
Image Classification (HP)
|
100% |
145
27.0 IPS |
|
|
Image Classification (Q)
|
97% |
3562
664.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
3076
50.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9008
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6271
7.32 IPS |
|
|
Pose Estimation (Q)
|
87% |
19400
22.9 IPS |
|
|
Object Detection (SP)
|
100% |
2193
174.0 IPS |
|
|
Object Detection (HP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (Q)
|
86% |
1759
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
3072
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.58 IPS |
|
|
Face Detection (Q)
|
96% |
4495
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7873
60.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
998
7.69 IPS |
|
|
Depth Estimation (Q)
|
76% |
8200
66.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20329
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16032
20.6 IPS |
|
|
Style Transfer (Q)
|
87% |
20767
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2136
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1793
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3164
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
1395
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
562
750.4 IPS |
|
|
Text Classification (Q)
|
97% |
1270
1.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1942
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.95 IPS |
|
|
Machine Translation (Q)
|
60% |
2353
52.5 IPS |
