System manufacturer System Product Name
Geekbench AI Score
2429
Single Precision Score
1204
Half Precision Score
3861
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | daeyul |
| Upload Date | March 07 2025 09:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X470-F GAMING |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1896
352.5 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.4 IPS |
|
|
Image Classification (Q)
|
96% |
3614
674.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1039
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
654
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
2241
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3833
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
3281
3.83 IPS |
|
|
Pose Estimation (Q)
|
86% |
8495
10.0 IPS |
|
|
Object Detection (SP)
|
100% |
1861
147.6 IPS |
|
|
Object Detection (HP)
|
100% |
601
47.6 IPS |
|
|
Object Detection (Q)
|
58% |
2550
278.7 IPS |
|
|
Face Detection (SP)
|
100% |
3246
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (Q)
|
96% |
6304
75.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4859
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1792
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
8057
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9271
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7891
10.1 IPS |
|
|
Style Transfer (Q)
|
87% |
12542
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1610
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2267
84.0 IPS |
|
|
Text Classification (SP)
|
100% |
1300
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
700
934.1 IPS |
|
|
Text Classification (Q)
|
97% |
1402
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
599
10.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2076
40.1 IPS |
