ASUS System Product Name
Geekbench AI Score
4175
Single Precision Score
1510
Half Precision Score
4972
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 12:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3457
642.9 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
96% |
5789
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
715
11.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2461
40.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7936
9.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
6394
7.46 IPS |
|
|
Pose Estimation (Q)
|
86% |
20002
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
3246
257.5 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
58% |
4046
442.1 IPS |
|
|
Face Detection (SP)
|
100% |
6672
79.3 IPS |
|
|
Face Detection (HP)
|
100% |
1411
16.8 IPS |
|
|
Face Detection (Q)
|
96% |
8826
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9652
74.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2268
17.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
15411
123.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21892
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17271
22.2 IPS |
|
|
Style Transfer (Q)
|
87% |
22052
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2295
84.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1922
71.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3007
111.4 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
584
779.0 IPS |
|
|
Text Classification (Q)
|
97% |
361
484.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2175
37.5 IPS |
|
|
Machine Translation (HP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2464
47.6 IPS |
