HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
5333
Single Precision Score
8602
Half Precision Score
3736
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | datamushroom |
| Upload Date | August 14 2025 07:11 PM |
| Views | 7 |
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 | Power Plan for BackOffice and Sales profile |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2785
517.9 IPS |
|
|
Image Classification (HP)
|
100% |
5074
943.7 IPS |
|
|
Image Classification (Q)
|
100% |
2356
438.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3378
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8331
135.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2657
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15201
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
22689
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
13013
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
3003
238.2 IPS |
|
|
Object Detection (HP)
|
99% |
5715
454.6 IPS |
|
|
Object Detection (Q)
|
86% |
2470
198.6 IPS |
|
|
Face Detection (SP)
|
100% |
4905
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
9689
115.1 IPS |
|
|
Face Detection (Q)
|
97% |
3666
43.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11096
85.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
23471
181.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
8701
69.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48864
62.8 IPS |
|
|
Style Transfer (HP)
|
100% |
78420
100.8 IPS |
|
|
Style Transfer (Q)
|
98% |
33995
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8174
301.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12511
462.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4535
167.9 IPS |
|
|
Text Classification (SP)
|
86% |
862
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
739
985.9 IPS |
|
|
Text Classification (Q)
|
84% |
520
705.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1030
19.3 IPS |
