MEGAWARE MW-H61H2-M2
Geekbench AI Score
160
Single Precision Score
79
Half Precision Score
149
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 27 2024 06:18 PM |
| Views | 10 |
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% |
87
16.2 IPS |
|
|
Image Classification (HP)
|
100% |
34
6.24 IPS |
|
|
Image Classification (Q)
|
96% |
107
19.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
85
1.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
56
0.90 IPS |
|
|
Image Segmentation (Q)
|
97% |
130
2.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
264
0.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
163
0.19 IPS |
|
|
Pose Estimation (Q)
|
87% |
322
0.38 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
26
2.09 IPS |
|
|
Object Detection (Q)
|
90% |
76
6.06 IPS |
|
|
Face Detection (SP)
|
100% |
191
2.27 IPS |
|
|
Face Detection (HP)
|
100% |
50
0.59 IPS |
|
|
Face Detection (Q)
|
96% |
169
2.01 IPS |
|
|
Depth Estimation (SP)
|
100% |
243
1.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
96
0.74 IPS |
|
|
Depth Estimation (Q)
|
76% |
168
1.35 IPS |
|
|
Style Transfer (SP)
|
100% |
448
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
397
0.51 IPS |
|
|
Style Transfer (Q)
|
87% |
466
0.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
114
4.19 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
99
3.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
134
4.96 IPS |
|
|
Text Classification (SP)
|
100% |
111
147.9 IPS |
|
|
Text Classification (HP)
|
100% |
65
86.9 IPS |
|
|
Text Classification (Q)
|
97% |
71
94.8 IPS |
|
|
Machine Translation (SP)
|
100% |
167
2.87 IPS |
|
|
Machine Translation (HP)
|
100% |
104
1.79 IPS |
|
|
Machine Translation (Q)
|
60% |
131
2.91 IPS |
