ASRock H610M-H2/M.2 D5
Geekbench AI Score
2443
Single Precision Score
1252
Half Precision Score
4442
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 23 2025 02:01 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-12100F |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASRock H610M-H2/M.2 D5 |
| Motherboard | ASRock H610M-H2/M.2 D5 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-12100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1810
336.6 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
99% |
3914
730.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2379
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3299
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
2950
3.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
11301
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1788
141.9 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (Q)
|
86% |
3620
290.9 IPS |
|
|
Face Detection (SP)
|
100% |
3838
45.6 IPS |
|
|
Face Detection (HP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
4883
58.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4770
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1809
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
9262
73.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8020
10.3 IPS |
|
|
Style Transfer (HP)
|
100% |
6803
8.74 IPS |
|
|
Style Transfer (Q)
|
98% |
13924
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1741
64.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3273
121.2 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.9 IPS |
|
|
Text Classification (Q)
|
97% |
1655
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
1745
30.1 IPS |
|
|
Machine Translation (HP)
|
100% |
705
12.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2303
46.3 IPS |
