ASUS System Product Name
Geekbench AI Score
3253
Single Precision Score
1336
Half Precision Score
5241
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | dayfan |
| Upload Date | April 20 2025 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS (WI-FI) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
465
86.5 IPS |
|
|
Image Classification (Q)
|
96% |
4711
879.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2884
46.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6315
7.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4984
5.82 IPS |
|
|
Pose Estimation (Q)
|
86% |
15537
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (Q)
|
58% |
4010
438.1 IPS |
|
|
Face Detection (SP)
|
100% |
5256
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
1348
16.0 IPS |
|
|
Face Detection (Q)
|
96% |
8733
104.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6956
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2037
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11749
93.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14728
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12324
15.8 IPS |
|
|
Style Transfer (Q)
|
87% |
17918
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1846
68.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1610
59.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2815
104.3 IPS |
|
|
Text Classification (SP)
|
100% |
1232
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
569
760.0 IPS |
|
|
Text Classification (Q)
|
97% |
1206
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2068
35.6 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2960
57.2 IPS |
