HP HP ProBook 650 G8 Notebook PC
Geekbench AI Score
3496
Single Precision Score
4804
Half Precision Score
7574
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zikkzakk |
| Upload Date | March 30 2025 09:40 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2263
420.9 IPS |
|
|
Image Classification (HP)
|
100% |
3273
608.7 IPS |
|
|
Image Classification (Q)
|
99% |
4182
779.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3041
49.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5166
83.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6532
105.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7375
8.60 IPS |
|
|
Pose Estimation (HP)
|
99% |
5493
6.41 IPS |
|
|
Pose Estimation (Q)
|
97% |
25173
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2133
169.2 IPS |
|
|
Object Detection (HP)
|
100% |
3282
260.3 IPS |
|
|
Object Detection (Q)
|
90% |
4951
395.8 IPS |
|
|
Face Detection (SP)
|
100% |
5007
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8728
103.7 IPS |
|
|
Face Detection (Q)
|
100% |
13668
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7652
59.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12357
95.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
16668
129.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18796
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
27470
35.3 IPS |
|
|
Style Transfer (Q)
|
98% |
54798
70.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4811
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9803
363.0 IPS |
|
|
Text Classification (SP)
|
71% |
951
1.38 KIPS |
|
|
Text Classification (HP)
|
71% |
1073
1.55 KIPS |
|
|
Text Classification (Q)
|
92% |
1062
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1185
20.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1406
24.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1404
24.2 IPS |
