Gigabyte Technology Co., Ltd. P31-DS3L
Geekbench AI Score
167
Single Precision Score
134
Half Precision Score
220
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | January 03 2025 08:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Quad Q6600 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. P31-DS3L |
| Motherboard | Gigabyte Technology Co., Ltd. P31-DS3L |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Quad Q6600 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 15 Stepping 11 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
103
19.1 IPS |
|
|
Image Classification (HP)
|
100% |
54
9.98 IPS |
|
|
Image Classification (Q)
|
99% |
135
25.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
94
1.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
79
1.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
172
2.80 IPS |
|
|
Pose Estimation (SP)
|
100% |
179
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
347
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.03 IPS |
|
|
Object Detection (HP)
|
100% |
64
5.05 IPS |
|
|
Object Detection (Q)
|
86% |
142
11.4 IPS |
|
|
Face Detection (SP)
|
100% |
286
3.40 IPS |
|
|
Face Detection (HP)
|
100% |
153
1.82 IPS |
|
|
Face Detection (Q)
|
97% |
423
5.05 IPS |
|
|
Depth Estimation (SP)
|
100% |
260
2.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
194
1.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
363
2.89 IPS |
|
|
Style Transfer (SP)
|
100% |
490
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
685
0.88 IPS |
|
|
Style Transfer (Q)
|
98% |
755
0.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
108
3.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
145
5.34 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
189
7.01 IPS |
|
|
Text Classification (SP)
|
100% |
147
196.6 IPS |
|
|
Text Classification (HP)
|
100% |
96
128.3 IPS |
|
|
Text Classification (Q)
|
97% |
90
121.0 IPS |
|
|
Machine Translation (SP)
|
100% |
174
3.00 IPS |
|
|
Machine Translation (HP)
|
100% |
98
1.69 IPS |
|
|
Machine Translation (Q)
|
65% |
122
2.45 IPS |
