HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
2951
Single Precision Score
1262
Half Precision Score
4522
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 10:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 165H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Power 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CA0 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 165H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1766
328.4 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.4 IPS |
|
|
Image Classification (Q)
|
99% |
3235
603.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
909
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3177
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5489
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3517
4.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
20830
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
1966
155.9 IPS |
|
|
Object Detection (HP)
|
100% |
612
48.5 IPS |
|
|
Object Detection (Q)
|
88% |
1763
141.3 IPS |
|
|
Face Detection (SP)
|
100% |
3477
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
4087
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6297
48.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1802
13.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
7850
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13684
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8980
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20007
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2498
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1649
60.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4134
153.1 IPS |
|
|
Text Classification (SP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
531
709.2 IPS |
|
|
Text Classification (Q)
|
97% |
1589
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2249
50.2 IPS |
