HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
1988
Single Precision Score
878
Half Precision Score
2933
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | May 19 2025 12:22 PM |
| Views | 5 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1218
226.5 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
2508
467.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
1892
30.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3938
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
14648
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1214
96.3 IPS |
|
|
Object Detection (HP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (Q)
|
88% |
1259
100.9 IPS |
|
|
Face Detection (SP)
|
100% |
1880
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
975
11.6 IPS |
|
|
Face Detection (Q)
|
97% |
2341
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3985
30.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1067
8.22 IPS |
|
|
Depth Estimation (Q)
|
77% |
4645
37.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8126
10.4 IPS |
|
|
Style Transfer (HP)
|
100% |
6549
8.42 IPS |
|
|
Style Transfer (Q)
|
98% |
13159
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1786
65.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1421
52.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2288
84.7 IPS |
|
|
Text Classification (SP)
|
100% |
1114
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
439
586.3 IPS |
|
|
Text Classification (Q)
|
97% |
1013
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1229
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.79 IPS |
|
|
Machine Translation (Q)
|
60% |
1628
36.3 IPS |
