HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
2814
Single Precision Score
1184
Half Precision Score
5165
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | stefanobolognini |
| Upload Date | March 13 2025 12:58 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (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 155H |
| 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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
449
83.5 IPS |
|
|
Image Classification (Q)
|
99% |
4925
918.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2523
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4743
5.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
3437
4.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
17193
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2072
164.3 IPS |
|
|
Object Detection (HP)
|
100% |
519
41.1 IPS |
|
|
Object Detection (Q)
|
86% |
4925
395.8 IPS |
|
|
Face Detection (SP)
|
100% |
5409
64.3 IPS |
|
|
Face Detection (HP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
6946
82.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5848
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1719
13.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11538
92.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11602
14.9 IPS |
|
|
Style Transfer (HP)
|
100% |
8522
11.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16687
21.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
1136
1.52 KIPS |
|
|
Text Classification (HP)
|
100% |
567
756.4 IPS |
|
|
Text Classification (Q)
|
97% |
1296
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1623
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2429
48.8 IPS |
