ASRock A620M-HDV/M.2
Geekbench AI Score
3614
Single Precision Score
1693
Half Precision Score
5248
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | February 11 2025 08:35 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 8600G |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock A620M-HDV/M.2 |
| Motherboard | ASRock A620M-HDV/M.2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.35 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2467
458.8 IPS |
|
|
Image Classification (HP)
|
100% |
542
100.8 IPS |
|
|
Image Classification (Q)
|
99% |
7118
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2403
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6287
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
5144
6.00 IPS |
|
|
Pose Estimation (Q)
|
94% |
21770
25.5 IPS |
|
|
Object Detection (SP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (HP)
|
100% |
848
67.3 IPS |
|
|
Object Detection (Q)
|
86% |
5772
463.9 IPS |
|
|
Face Detection (SP)
|
100% |
5836
69.3 IPS |
|
|
Face Detection (HP)
|
100% |
1849
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
9027
107.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2734
21.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7164
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15090
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12863
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26281
33.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2423
89.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3610
133.7 IPS |
|
|
Text Classification (SP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
440
589.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
780
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2736
55.0 IPS |
