MEGAWARE MW-H61H2-M2
Geekbench AI Score
249
Single Precision Score
117
Half Precision Score
217
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 27 2024 07:12 PM |
| Views | 14 |
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% |
161
29.9 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.45 IPS |
|
|
Image Classification (Q)
|
96% |
177
33.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
156
2.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
56
0.91 IPS |
|
|
Image Segmentation (Q)
|
97% |
179
2.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
370
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (Q)
|
87% |
349
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
143
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
48
3.79 IPS |
|
|
Object Detection (Q)
|
90% |
126
10.1 IPS |
|
|
Face Detection (SP)
|
100% |
293
3.48 IPS |
|
|
Face Detection (HP)
|
100% |
76
0.90 IPS |
|
|
Face Detection (Q)
|
96% |
294
3.50 IPS |
|
|
Depth Estimation (SP)
|
100% |
386
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
166
1.28 IPS |
|
|
Depth Estimation (Q)
|
76% |
279
2.24 IPS |
|
|
Style Transfer (SP)
|
100% |
776
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (Q)
|
87% |
667
0.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
159
5.87 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
204
7.55 IPS |
|
|
Text Classification (SP)
|
100% |
178
238.2 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.0 IPS |
|
|
Text Classification (Q)
|
97% |
111
148.2 IPS |
|
|
Machine Translation (SP)
|
100% |
264
4.54 IPS |
|
|
Machine Translation (HP)
|
100% |
107
1.84 IPS |
|
|
Machine Translation (Q)
|
60% |
136
3.02 IPS |
