HP HP ZBook Power G7 Mobile Workstation
Geekbench AI Score
1826
Single Precision Score
911
Half Precision Score
2524
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 09:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ZBook Power G7 Mobile Workstation |
| Motherboard | HP 87EC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1338
248.8 IPS |
|
|
Image Classification (HP)
|
100% |
359
66.7 IPS |
|
|
Image Classification (Q)
|
96% |
2584
482.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
501
8.13 IPS |
|
|
Image Segmentation (Q)
|
97% |
1402
22.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2632
3.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
2155
2.51 IPS |
|
|
Pose Estimation (Q)
|
86% |
6116
7.23 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
58% |
1705
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
2016
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
890
10.6 IPS |
|
|
Face Detection (Q)
|
96% |
4496
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3721
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1373
10.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
5748
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7119
9.15 IPS |
|
|
Style Transfer (HP)
|
100% |
5456
7.01 IPS |
|
|
Style Transfer (Q)
|
87% |
8222
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1336
49.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1207
44.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1988
73.6 IPS |
|
|
Text Classification (SP)
|
100% |
1130
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
553
738.4 IPS |
|
|
Text Classification (Q)
|
97% |
414
554.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.76 IPS |
|
|
Machine Translation (Q)
|
68% |
1591
30.7 IPS |
