System manufacturer P5QL-E
Geekbench AI Score
195
Single Precision Score
158
Half Precision Score
390
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | kot-ubitsa |
| Upload Date | February 23 2025 08:49 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 2 Quad Q9550 |
| System Information | |
|---|---|
| Operating System | Windows 10 LTSC (64-bit) |
| Model | System manufacturer P5QL-E |
| Motherboard | ASUSTeK Computer INC. P5QL-E |
| CPU Information | |
|---|---|
| Name | Intel Core 2 Quad Q9550 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 23 Stepping 10 |
| Base Frequency | 2.83 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Type | DDR-2 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
115
21.3 IPS |
|
|
Image Classification (HP)
|
100% |
65
12.1 IPS |
|
|
Image Classification (Q)
|
96% |
322
60.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
92
1.49 IPS |
|
|
Image Segmentation (Q)
|
97% |
280
4.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
216
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
321
0.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
674
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
111
8.79 IPS |
|
|
Object Detection (HP)
|
100% |
74
5.84 IPS |
|
|
Object Detection (Q)
|
58% |
226
24.7 IPS |
|
|
Face Detection (SP)
|
100% |
315
3.75 IPS |
|
|
Face Detection (HP)
|
100% |
171
2.03 IPS |
|
|
Face Detection (Q)
|
96% |
611
7.29 IPS |
|
|
Depth Estimation (SP)
|
100% |
286
2.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
227
1.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
667
5.31 IPS |
|
|
Style Transfer (SP)
|
100% |
583
0.75 IPS |
|
|
Style Transfer (HP)
|
100% |
845
1.09 IPS |
|
|
Style Transfer (Q)
|
87% |
1216
1.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.41 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
170
6.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
322
11.9 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.8 IPS |
|
|
Text Classification (HP)
|
100% |
109
145.8 IPS |
|
|
Text Classification (Q)
|
97% |
126
168.7 IPS |
|
|
Machine Translation (SP)
|
100% |
198
3.40 IPS |
|
|
Machine Translation (HP)
|
100% |
115
1.98 IPS |
|
|
Machine Translation (Q)
|
68% |
300
5.80 IPS |
