HP HP ProBook 650 G8 Notebook PC
Geekbench AI Score
2882
Single Precision Score
2845
Half Precision Score
7716
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zikkzakk |
| Upload Date | March 30 2025 09:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| 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% |
1787
332.3 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (Q)
|
100% |
5208
968.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1974
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1983
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4879
79.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3345
3.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2862
3.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
13151
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1725
136.8 IPS |
|
|
Object Detection (HP)
|
100% |
1731
137.3 IPS |
|
|
Object Detection (Q)
|
88% |
5107
409.4 IPS |
|
|
Face Detection (SP)
|
100% |
3960
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
3995
47.5 IPS |
|
|
Face Detection (Q)
|
100% |
12649
150.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4432
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4492
34.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
13446
104.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9036
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9062
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
31386
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1975
72.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6905
255.7 IPS |
|
|
Text Classification (SP)
|
100% |
1960
2.62 KIPS |
|
|
Text Classification (HP)
|
100% |
1943
2.59 KIPS |
|
|
Text Classification (Q)
|
92% |
3743
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3225
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3180
54.8 IPS |
