Hewlett-Packard p6-2410er
Geekbench AI Score
686
Single Precision Score
373
Half Precision Score
630
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| Upload Date | August 22 2025 08:25 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-2500 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard p6-2410er |
| Motherboard | Foxconn 2ADA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-2500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
592
110.0 IPS |
|
|
Image Classification (HP)
|
100% |
193
35.8 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
581
9.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
1203
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
934
1.09 IPS |
|
|
Pose Estimation (Q)
|
86% |
800
0.95 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
58% |
298
32.6 IPS |
|
|
Face Detection (SP)
|
100% |
802
9.53 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
96% |
909
10.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1157
8.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
523
4.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
903
7.19 IPS |
|
|
Style Transfer (SP)
|
100% |
2307
2.97 IPS |
|
|
Style Transfer (HP)
|
100% |
1929
2.48 IPS |
|
|
Style Transfer (Q)
|
87% |
1644
2.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.1 IPS |
|
|
Text Classification (SP)
|
100% |
469
625.8 IPS |
|
|
Text Classification (HP)
|
100% |
214
285.2 IPS |
|
|
Text Classification (Q)
|
97% |
355
475.7 IPS |
|
|
Machine Translation (SP)
|
100% |
505
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
221
3.80 IPS |
|
|
Machine Translation (Q)
|
68% |
541
10.4 IPS |
