HP HP ProBook 650 G8 Notebook PC
Geekbench AI Score
2230
Single Precision Score
1038
Half Precision Score
4229
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zikkzakk |
| Upload Date | March 30 2025 09:25 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ProBook 650 G8 Notebook PC |
| Motherboard | HP 87ED |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1740
323.7 IPS |
|
|
Image Classification (HP)
|
100% |
421
78.4 IPS |
|
|
Image Classification (Q)
|
99% |
3757
700.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
884
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (Q)
|
98% |
2151
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3354
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2272
2.65 IPS |
|
|
Pose Estimation (Q)
|
94% |
11324
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1698
134.7 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
3789
304.5 IPS |
|
|
Face Detection (SP)
|
100% |
3235
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
1131
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
6079
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4378
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1520
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8966
71.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7914
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
5958
7.66 IPS |
|
|
Style Transfer (Q)
|
98% |
13386
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1562
57.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1348
49.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2735
101.3 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
657
876.7 IPS |
|
|
Text Classification (Q)
|
97% |
1252
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1645
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
548
9.44 IPS |
|
|
Machine Translation (Q)
|
65% |
2116
42.5 IPS |
