Gigabyte Technology Co., Ltd. A520M K V2
Geekbench AI Score
3093
Single Precision Score
1401
Half Precision Score
4479
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | May 18 2025 10:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. A520M K V2 |
| Motherboard | Gigabyte Technology Co., Ltd. A520M K V2 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
554
103.0 IPS |
|
|
Image Classification (Q)
|
96% |
4252
794.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1547
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
2523
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4784
5.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
3814
4.45 IPS |
|
|
Pose Estimation (Q)
|
86% |
9773
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
2407
190.9 IPS |
|
|
Object Detection (HP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (Q)
|
58% |
3023
330.3 IPS |
|
|
Face Detection (SP)
|
100% |
3952
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
7283
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6586
50.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2085
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9104
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11302
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9492
12.2 IPS |
|
|
Style Transfer (Q)
|
87% |
14414
18.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2118
78.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2514
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
1467
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1522
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2115
36.4 IPS |
|
|
Machine Translation (HP)
|
100% |
683
11.8 IPS |
|
|
Machine Translation (Q)
|
68% |
2804
54.2 IPS |
