Hewlett-Packard HP ProBook 650 G1
Geekbench AI Score
609
Single Precision Score
355
Half Precision Score
623
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 14 2025 01:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-4300M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 650 G1 |
| Motherboard | Hewlett-Packard 1993 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4300M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (HP)
|
100% |
135
25.0 IPS |
|
|
Image Classification (Q)
|
96% |
465
86.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
188
3.04 IPS |
|
|
Image Segmentation (Q)
|
97% |
294
4.79 IPS |
|
|
Pose Estimation (SP)
|
100% |
930
1.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
731
0.85 IPS |
|
|
Pose Estimation (Q)
|
86% |
1035
1.22 IPS |
|
|
Object Detection (SP)
|
100% |
399
31.7 IPS |
|
|
Object Detection (HP)
|
100% |
198
15.7 IPS |
|
|
Object Detection (Q)
|
58% |
329
35.9 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
426
5.06 IPS |
|
|
Face Detection (Q)
|
96% |
1197
14.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1166
8.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
555
4.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
1151
9.19 IPS |
|
|
Style Transfer (SP)
|
100% |
2257
2.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1751
2.25 IPS |
|
|
Style Transfer (Q)
|
87% |
2373
3.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
478
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
489
18.1 IPS |
|
|
Text Classification (SP)
|
100% |
418
557.5 IPS |
|
|
Text Classification (HP)
|
100% |
246
328.9 IPS |
|
|
Text Classification (Q)
|
97% |
223
299.0 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.24 IPS |
|
|
Machine Translation (HP)
|
100% |
230
3.96 IPS |
|
|
Machine Translation (Q)
|
68% |
538
10.4 IPS |
