HP HP ProBook 650 G8 Notebook PC
Geekbench AI Score
2317
Single Precision Score
2419
Half Precision Score
1479
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | zikkzakk |
| Upload Date | March 30 2025 09:30 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1010
187.9 IPS |
|
|
Image Classification (HP)
|
100% |
1133
210.7 IPS |
|
|
Image Classification (Q)
|
100% |
863
160.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1398
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1026
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8450
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
9843
11.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
4741
5.55 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
98% |
1053
83.8 IPS |
|
|
Object Detection (Q)
|
86% |
980
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
2169
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2710
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
1612
19.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4804
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5217
40.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
3326
26.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19481
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24674
31.7 IPS |
|
|
Style Transfer (Q)
|
98% |
12241
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2965
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3559
131.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1243
46.0 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.1 IPS |
|
|
Text Classification (HP)
|
100% |
360
480.7 IPS |
|
|
Text Classification (Q)
|
97% |
376
504.0 IPS |
|
|
Machine Translation (SP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
70% |
397
7.45 IPS |
