ASUS System Product Name
Geekbench AI Score
4401
Single Precision Score
1728
Half Precision Score
7010
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 30 2025 12:12 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel pour les Stations de travail (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2865
532.8 IPS |
|
|
Image Classification (HP)
|
100% |
582
108.2 IPS |
|
|
Image Classification (Q)
|
96% |
6303
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1961
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
9402
152.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11152
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6616
7.72 IPS |
|
|
Pose Estimation (Q)
|
86% |
21177
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
3179
252.1 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
58% |
4961
542.1 IPS |
|
|
Face Detection (SP)
|
100% |
6900
82.0 IPS |
|
|
Face Detection (HP)
|
100% |
1582
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
10345
123.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10763
82.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2507
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16190
129.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23165
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18782
24.1 IPS |
|
|
Style Transfer (Q)
|
87% |
21237
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2460
90.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1988
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3984
147.6 IPS |
|
|
Text Classification (SP)
|
100% |
1386
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
707
943.0 IPS |
|
|
Text Classification (Q)
|
97% |
1231
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2642
51.1 IPS |
