Hewlett-Packard HP ProBook 650 G1
Geekbench AI Score
437
Single Precision Score
259
Half Precision Score
459
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | December 05 2024 09:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4610M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Hewlett-Packard HP ProBook 650 G1 |
| Motherboard | Hewlett-Packard 2101 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4610M |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (HP)
|
100% |
119
22.0 IPS |
|
|
Image Classification (Q)
|
96% |
349
65.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
175
2.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (Q)
|
97% |
238
3.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
823
0.97 IPS |
|
|
Object Detection (SP)
|
100% |
278
22.1 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.7 IPS |
|
|
Object Detection (Q)
|
58% |
242
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
722
8.58 IPS |
|
|
Face Detection (HP)
|
100% |
303
3.60 IPS |
|
|
Face Detection (Q)
|
96% |
801
9.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
766
5.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
361
2.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
886
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
1526
1.96 IPS |
|
|
Style Transfer (HP)
|
100% |
1113
1.43 IPS |
|
|
Style Transfer (Q)
|
87% |
1800
2.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
316
11.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
249
9.20 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
379
14.0 IPS |
|
|
Text Classification (SP)
|
100% |
266
355.2 IPS |
|
|
Text Classification (HP)
|
100% |
163
218.0 IPS |
|
|
Text Classification (Q)
|
97% |
128
171.4 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.27 IPS |
|
|
Machine Translation (HP)
|
100% |
184
3.17 IPS |
|
|
Machine Translation (Q)
|
68% |
412
7.97 IPS |
