Gigabyte Technology Co., Ltd. P41T-ES3G
Geekbench AI Score
113
Single Precision Score
110
Half Precision Score
168
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 10 2025 05:53 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo E6750 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. P41T-ES3G |
| Motherboard | Gigabyte Technology Co., Ltd. P41T-ES3G |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Duo E6750 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 11 |
| Base Frequency | 2.72 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (HP)
|
100% |
53
9.93 IPS |
|
|
Image Classification (Q)
|
99% |
103
19.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
69
1.11 IPS |
|
|
Image Segmentation (HP)
|
100% |
72
1.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
123
2.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
110
0.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
158
0.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
227
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
62
4.91 IPS |
|
|
Object Detection (HP)
|
100% |
57
4.54 IPS |
|
|
Object Detection (Q)
|
86% |
100
8.08 IPS |
|
|
Face Detection (SP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (HP)
|
100% |
137
1.63 IPS |
|
|
Face Detection (Q)
|
97% |
307
3.66 IPS |
|
|
Depth Estimation (SP)
|
100% |
158
1.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
159
1.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
254
2.03 IPS |
|
|
Style Transfer (SP)
|
100% |
309
0.40 IPS |
|
|
Style Transfer (HP)
|
100% |
429
0.55 IPS |
|
|
Style Transfer (Q)
|
98% |
529
0.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
68
2.53 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
95
3.50 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
134
4.95 IPS |
|
|
Text Classification (SP)
|
100% |
126
167.8 IPS |
|
|
Text Classification (HP)
|
100% |
87
116.5 IPS |
|
|
Text Classification (Q)
|
97% |
91
122.0 IPS |
|
|
Machine Translation (SP)
|
100% |
140
2.41 IPS |
|
|
Machine Translation (HP)
|
100% |
100
1.73 IPS |
|
|
Machine Translation (Q)
|
65% |
125
2.51 IPS |
