ASUS System Product Name
Geekbench AI Score
3124
Single Precision Score
1470
Half Precision Score
4540
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 08:33 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
599
111.4 IPS |
|
|
Image Classification (Q)
|
96% |
4094
764.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1565
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
788
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
2472
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4148
4.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3666
4.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
9187
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
2402
190.5 IPS |
|
|
Object Detection (HP)
|
100% |
766
60.7 IPS |
|
|
Object Detection (Q)
|
58% |
2991
326.8 IPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
1580
18.8 IPS |
|
|
Face Detection (Q)
|
96% |
7296
87.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6046
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2103
16.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
9047
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11145
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9010
11.6 IPS |
|
|
Style Transfer (Q)
|
87% |
13368
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2077
76.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1900
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3003
111.3 IPS |
|
|
Text Classification (SP)
|
100% |
1584
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1615
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
68% |
3128
60.4 IPS |
