ASUS System Product Name
Geekbench AI Score
2919
Single Precision Score
1224
Half Precision Score
4760
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 17 2025 08:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-A GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2009
373.6 IPS |
|
|
Image Classification (HP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (Q)
|
96% |
4444
829.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
97% |
2581
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5935
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4749
5.54 IPS |
|
|
Pose Estimation (Q)
|
86% |
14923
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (Q)
|
58% |
3683
402.4 IPS |
|
|
Face Detection (SP)
|
100% |
4177
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
1174
13.9 IPS |
|
|
Face Detection (Q)
|
96% |
8110
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6152
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1826
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
10349
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13652
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
11620
14.9 IPS |
|
|
Style Transfer (Q)
|
87% |
14728
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1652
61.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1413
52.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2558
94.8 IPS |
|
|
Text Classification (SP)
|
100% |
1079
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
531
708.9 IPS |
|
|
Text Classification (Q)
|
97% |
1151
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
588
10.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2605
50.3 IPS |
