HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
13402
Single Precision Score
25150
Half Precision Score
10333
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | felixskw |
| Upload Date | September 21 2025 01:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 2000 Ada Generation Laptop GPU |
| 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% |
5429
1.01 KIPS |
|
|
Image Classification (HP)
|
99% |
10528
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
5128
956.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
11126
180.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16120
261.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
8694
141.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
54525
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
166983
194.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
46600
54.6 IPS |
|
|
Object Detection (SP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (HP)
|
100% |
13961
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
5791
467.1 IPS |
|
|
Face Detection (SP)
|
100% |
16325
194.0 IPS |
|
|
Face Detection (HP)
|
100% |
30229
359.2 IPS |
|
|
Face Detection (Q)
|
97% |
14073
167.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26169
201.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
61315
472.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
22231
177.8 IPS |
|
|
Style Transfer (SP)
|
100% |
94394
121.3 IPS |
|
|
Style Transfer (HP)
|
100% |
290866
373.9 IPS |
|
|
Style Transfer (Q)
|
98% |
85510
110.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21738
802.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36649
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15768
583.9 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3227
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1592
2.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4014
69.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1718
32.2 IPS |
