Gigabyte Technology Co., Ltd. P41T-ES3G
Geekbench AI Score
159
Single Precision Score
159
Half Precision Score
345
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 11 2025 09:27 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Duo E7500 |
| 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 E7500 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 3.74 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
93
17.2 IPS |
|
|
Image Classification (HP)
|
100% |
76
14.1 IPS |
|
|
Image Classification (Q)
|
96% |
273
50.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
89
1.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
98
1.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
222
3.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
161
0.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
86% |
524
0.62 IPS |
|
|
Object Detection (SP)
|
100% |
88
7.01 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.54 IPS |
|
|
Object Detection (Q)
|
58% |
192
21.0 IPS |
|
|
Face Detection (SP)
|
100% |
263
3.13 IPS |
|
|
Face Detection (HP)
|
100% |
185
2.20 IPS |
|
|
Face Detection (Q)
|
96% |
500
5.96 IPS |
|
|
Depth Estimation (SP)
|
100% |
230
1.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
559
4.45 IPS |
|
|
Style Transfer (SP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
655
0.84 IPS |
|
|
Style Transfer (Q)
|
87% |
921
1.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
98
3.63 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
187
250.3 IPS |
|
|
Text Classification (HP)
|
100% |
127
169.7 IPS |
|
|
Text Classification (Q)
|
97% |
162
217.7 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
133
2.30 IPS |
|
|
Machine Translation (Q)
|
68% |
325
6.28 IPS |
