Gigabyte Technology Co., Ltd. G41M-Combo
Geekbench AI Score
105
Single Precision Score
106
Half Precision Score
152
Quantized Score
Geekbench AI 1.1.0 for Windows x86 (64-bit)
Result Information
| User | Technologov |
| Upload Date | January 19 2025 04:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo E6700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. G41M-Combo |
| Motherboard | Gigabyte Technology Co., Ltd. G41M-Combo |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E6700 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 6 |
| Base Frequency | 2.67 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
58
10.7 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.37 IPS |
|
|
Image Classification (Q)
|
100% |
89
16.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
65
1.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
69
1.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
119
1.93 IPS |
|
|
Pose Estimation (SP)
|
100% |
108
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
154
0.18 IPS |
|
|
Pose Estimation (Q)
|
95% |
220
0.26 IPS |
|
|
Object Detection (SP)
|
100% |
56
4.48 IPS |
|
|
Object Detection (HP)
|
100% |
55
4.34 IPS |
|
|
Object Detection (Q)
|
89% |
83
6.64 IPS |
|
|
Face Detection (SP)
|
100% |
151
1.79 IPS |
|
|
Face Detection (HP)
|
100% |
127
1.50 IPS |
|
|
Face Detection (Q)
|
97% |
232
2.76 IPS |
|
|
Depth Estimation (SP)
|
100% |
151
1.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
155
1.20 IPS |
|
|
Depth Estimation (Q)
|
78% |
239
1.91 IPS |
|
|
Style Transfer (SP)
|
100% |
302
0.39 IPS |
|
|
Style Transfer (HP)
|
100% |
420
0.54 IPS |
|
|
Style Transfer (Q)
|
98% |
498
0.64 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
67
2.47 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
93
3.42 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
132
4.88 IPS |
|
|
Text Classification (SP)
|
100% |
122
162.6 IPS |
|
|
Text Classification (HP)
|
100% |
85
113.7 IPS |
|
|
Text Classification (Q)
|
97% |
90
120.2 IPS |
|
|
Machine Translation (SP)
|
100% |
134
2.31 IPS |
|
|
Machine Translation (HP)
|
100% |
96
1.66 IPS |
|
|
Machine Translation (Q)
|
60% |
106
2.36 IPS |
