HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
2802
Single Precision Score
1155
Half Precision Score
3568
Quantized Score
Geekbench AI 1.1.0 Pro for Windows AVX2
Result Information
| Upload Date | November 11 2024 04:35 AM |
| Views | 3 |
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% |
1863
346.4 IPS |
|
|
Image Classification (HP)
|
100% |
393
73.1 IPS |
|
|
Image Classification (Q)
|
99% |
3149
587.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2653
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5353
6.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
3495
4.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
19633
23.0 IPS |
|
|
Object Detection (SP)
|
100% |
1856
147.3 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
88% |
1701
136.3 IPS |
|
|
Face Detection (SP)
|
100% |
2867
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
1207
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
3420
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6131
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1598
12.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
7506
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13105
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8866
11.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18066
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2568
94.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1644
60.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3277
121.3 IPS |
|
|
Text Classification (SP)
|
100% |
1272
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
559
745.5 IPS |
|
|
Text Classification (Q)
|
97% |
453
607.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1631
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
540
9.31 IPS |
|
|
Machine Translation (Q)
|
60% |
1745
38.9 IPS |
