HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
5278
Single Precision Score
8534
Half Precision Score
3791
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | December 20 2025 12:19 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Pro Graphics |
| 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 | Balanced |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2727
507.1 IPS |
|
|
Image Classification (HP)
|
100% |
4995
928.9 IPS |
|
|
Image Classification (Q)
|
100% |
2344
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8271
134.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2671
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14953
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
22326
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12804
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2979
236.3 IPS |
|
|
Object Detection (HP)
|
99% |
5791
460.7 IPS |
|
|
Object Detection (Q)
|
86% |
2454
197.3 IPS |
|
|
Face Detection (SP)
|
100% |
4705
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
9479
112.6 IPS |
|
|
Face Detection (Q)
|
97% |
3711
44.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11076
85.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
22920
177.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
8530
68.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47912
61.6 IPS |
|
|
Style Transfer (HP)
|
100% |
77060
99.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33268
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8018
296.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12662
467.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4398
162.9 IPS |
|
|
Text Classification (SP)
|
86% |
886
1.20 KIPS |
|
|
Text Classification (HP)
|
99% |
733
978.2 IPS |
|
|
Text Classification (Q)
|
84% |
632
857.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1066
20.0 IPS |
