Hewlett-Packard HP ProBook 650 G1
Geekbench AI Score
708
Single Precision Score
717
Half Precision Score
564
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | KD8UXA |
| Upload Date | December 06 2024 02:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon HD 8750M |
| 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% |
267
49.6 IPS |
|
|
Image Classification (HP)
|
100% |
262
48.7 IPS |
|
|
Image Classification (Q)
|
100% |
240
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
391
6.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
412
6.69 IPS |
|
|
Image Segmentation (Q)
|
98% |
332
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
1911
2.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1921
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
1788
2.09 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
100% |
352
27.9 IPS |
|
|
Object Detection (Q)
|
86% |
312
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
658
7.82 IPS |
|
|
Face Detection (HP)
|
100% |
668
7.93 IPS |
|
|
Face Detection (Q)
|
97% |
571
6.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
1228
9.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
1210
9.35 IPS |
|
|
Depth Estimation (Q)
|
77% |
1056
8.44 IPS |
|
|
Style Transfer (SP)
|
100% |
3576
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3584
4.61 IPS |
|
|
Style Transfer (Q)
|
98% |
3265
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
889
32.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
730
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
297
396.9 IPS |
|
|
Text Classification (HP)
|
100% |
316
422.0 IPS |
|
|
Text Classification (Q)
|
97% |
201
269.1 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
96% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
70% |
256
4.81 IPS |
