HP HP EliteBook 850 G7 Notebook PC
Geekbench AI Score
690
Single Precision Score
323
Half Precision Score
1046
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| Upload Date | December 10 2025 02:15 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-10310U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP EliteBook 850 G7 Notebook PC |
| Motherboard | HP 8724 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10310U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 2.21 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (HP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (Q)
|
96% |
1013
189.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
160
2.59 IPS |
|
|
Image Segmentation (Q)
|
97% |
486
7.90 IPS |
|
|
Pose Estimation (SP)
|
100% |
745
0.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
613
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
1642
1.94 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (HP)
|
100% |
158
12.5 IPS |
|
|
Object Detection (Q)
|
58% |
647
70.7 IPS |
|
|
Face Detection (SP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (Q)
|
96% |
2243
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1209
9.32 IPS |
|
|
Depth Estimation (HP)
|
99% |
385
2.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
1804
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2268
2.92 IPS |
|
|
Style Transfer (HP)
|
100% |
1576
2.03 IPS |
|
|
Style Transfer (Q)
|
87% |
3310
4.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
474
17.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
403
14.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
763
28.3 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.3 IPS |
|
|
Text Classification (HP)
|
100% |
234
312.8 IPS |
|
|
Text Classification (Q)
|
97% |
427
572.4 IPS |
|
|
Machine Translation (SP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
228
3.92 IPS |
|
|
Machine Translation (Q)
|
68% |
691
13.3 IPS |
