System manufacturer P5QL-E
Geekbench AI Score
256
Single Precision Score
203
Half Precision Score
481
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| User | kot-ubitsa |
| Upload Date | February 23 2025 09:43 AM |
| Views | 12 |
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% |
161
29.8 IPS |
|
|
Image Classification (HP)
|
100% |
85
15.8 IPS |
|
|
Image Classification (Q)
|
96% |
430
80.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
343
5.58 IPS |
|
|
Pose Estimation (SP)
|
100% |
286
0.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
415
0.48 IPS |
|
|
Pose Estimation (Q)
|
86% |
811
0.96 IPS |
|
|
Object Detection (SP)
|
100% |
153
12.1 IPS |
|
|
Object Detection (HP)
|
100% |
99
7.85 IPS |
|
|
Object Detection (Q)
|
58% |
301
32.9 IPS |
|
|
Face Detection (SP)
|
100% |
408
4.85 IPS |
|
|
Face Detection (HP)
|
100% |
207
2.45 IPS |
|
|
Face Detection (Q)
|
96% |
708
8.45 IPS |
|
|
Depth Estimation (SP)
|
100% |
398
3.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
276
2.12 IPS |
|
|
Depth Estimation (Q)
|
78% |
848
6.75 IPS |
|
|
Style Transfer (SP)
|
100% |
766
0.98 IPS |
|
|
Style Transfer (HP)
|
100% |
1118
1.44 IPS |
|
|
Style Transfer (Q)
|
87% |
1324
1.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
162
5.99 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
234
8.65 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.2 IPS |
|
|
Text Classification (HP)
|
100% |
151
201.7 IPS |
|
|
Text Classification (Q)
|
97% |
160
214.8 IPS |
|
|
Machine Translation (SP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (HP)
|
100% |
142
2.45 IPS |
|
|
Machine Translation (Q)
|
68% |
366
7.07 IPS |
