ASUS System Product Name
Geekbench AI Score
3749
Single Precision Score
1428
Half Precision Score
4827
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 06:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X570-CREATOR WIFI |
| 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 | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2758
512.9 IPS |
|
|
Image Classification (HP)
|
100% |
457
85.0 IPS |
|
|
Image Classification (Q)
|
96% |
5382
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1802
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2442
39.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7384
8.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
5831
6.80 IPS |
|
|
Pose Estimation (Q)
|
86% |
17704
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
58% |
3978
434.6 IPS |
|
|
Face Detection (SP)
|
100% |
6275
74.6 IPS |
|
|
Face Detection (HP)
|
100% |
1364
16.2 IPS |
|
|
Face Detection (Q)
|
96% |
8824
105.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8394
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2217
17.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
13101
104.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17011
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14509
18.7 IPS |
|
|
Style Transfer (Q)
|
87% |
21285
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2141
79.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1816
67.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2876
106.6 IPS |
|
|
Text Classification (SP)
|
100% |
1329
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
591
788.3 IPS |
|
|
Text Classification (Q)
|
97% |
418
559.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
658
11.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2510
48.5 IPS |
