ASRock H610M-H2/M.2 D5
Geekbench AI Score
2500
Single Precision Score
1274
Half Precision Score
4378
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | January 24 2025 05:19 AM |
| Views | 4 |
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% |
1740
323.6 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
99% |
3112
580.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
821
13.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2030
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3527
4.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (Q)
|
94% |
11959
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1768
140.3 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.4 IPS |
|
|
Object Detection (Q)
|
86% |
3550
285.3 IPS |
|
|
Face Detection (SP)
|
100% |
4136
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
1479
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
6053
72.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4772
36.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1786
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
9273
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8559
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
6714
8.63 IPS |
|
|
Style Transfer (Q)
|
98% |
14397
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1835
67.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3178
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
1417
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
1661
2.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1717
29.6 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2266
45.5 IPS |
