HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
8577
Single Precision Score
15310
Half Precision Score
7178
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 10:51 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| 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% |
3271
608.4 IPS |
|
|
Image Classification (HP)
|
99% |
5603
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
3224
601.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5515
89.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
6997
113.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5037
81.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
45714
53.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
138554
161.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
40619
47.6 IPS |
|
|
Object Detection (SP)
|
100% |
4838
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
7531
597.3 IPS |
|
|
Object Detection (Q)
|
84% |
4418
356.4 IPS |
|
|
Face Detection (SP)
|
100% |
11029
131.1 IPS |
|
|
Face Detection (HP)
|
100% |
17690
210.2 IPS |
|
|
Face Detection (Q)
|
97% |
9838
117.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
19928
153.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
47404
365.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17182
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
77182
99.2 IPS |
|
|
Style Transfer (HP)
|
100% |
193790
249.1 IPS |
|
|
Style Transfer (Q)
|
98% |
68076
87.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17776
656.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29485
1.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
13269
491.3 IPS |
|
|
Text Classification (SP)
|
100% |
924
1.23 KIPS |
|
|
Text Classification (HP)
|
100% |
1977
2.64 KIPS |
|
|
Text Classification (Q)
|
97% |
717
960.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1826
31.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1139
21.4 IPS |
