MEGAWARE MW-H61H2-M2
Geekbench AI Score
229
Single Precision Score
116
Half Precision Score
205
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 31 2024 11:49 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i3-2100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MEGAWARE MW-H61H2-M2 |
| Motherboard | MEGAWARE MW-H61H2-M2 |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | Intel Core i3-2100 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
116
21.6 IPS |
|
|
Image Classification (HP)
|
100% |
44
8.14 IPS |
|
|
Image Classification (Q)
|
96% |
162
30.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
62
1.01 IPS |
|
|
Image Segmentation (Q)
|
97% |
137
2.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
423
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
274
0.32 IPS |
|
|
Pose Estimation (Q)
|
87% |
339
0.40 IPS |
|
|
Object Detection (SP)
|
100% |
145
11.5 IPS |
|
|
Object Detection (HP)
|
100% |
46
3.64 IPS |
|
|
Object Detection (Q)
|
90% |
131
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
288
3.43 IPS |
|
|
Face Detection (HP)
|
100% |
74
0.88 IPS |
|
|
Face Detection (Q)
|
96% |
308
3.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
384
2.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
172
1.33 IPS |
|
|
Depth Estimation (Q)
|
76% |
283
2.28 IPS |
|
|
Style Transfer (SP)
|
100% |
821
1.06 IPS |
|
|
Style Transfer (HP)
|
100% |
671
0.86 IPS |
|
|
Style Transfer (Q)
|
87% |
707
0.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
132
4.86 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
115
4.25 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
146
5.39 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.6 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.1 IPS |
|
|
Text Classification (Q)
|
97% |
109
146.2 IPS |
|
|
Machine Translation (SP)
|
100% |
249
4.29 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
60% |
137
3.05 IPS |
