HP HP ZBook Power 16 inch G11 Mobile Workstation PC
Geekbench AI Score
13095
Single Precision Score
22852
Half Precision Score
10413
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | peng.jimmy |
| Upload Date | February 21 2025 02:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5554
1.03 KIPS |
|
|
Image Classification (HP)
|
99% |
9854
1.84 KIPS |
|
|
Image Classification (Q)
|
99% |
5035
939.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
8773
142.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11873
192.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8075
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
58578
68.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
196410
229.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
51054
59.8 IPS |
|
|
Object Detection (SP)
|
100% |
6750
535.4 IPS |
|
|
Object Detection (HP)
|
100% |
12012
952.8 IPS |
|
|
Object Detection (Q)
|
84% |
6081
490.5 IPS |
|
|
Face Detection (SP)
|
100% |
15223
180.9 IPS |
|
|
Face Detection (HP)
|
100% |
25103
298.3 IPS |
|
|
Face Detection (Q)
|
97% |
13936
166.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29066
223.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
60530
466.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
24450
196.0 IPS |
|
|
Style Transfer (SP)
|
100% |
101447
130.4 IPS |
|
|
Style Transfer (HP)
|
100% |
264585
340.1 IPS |
|
|
Style Transfer (Q)
|
98% |
89323
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21285
785.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35110
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15799
585.0 IPS |
|
|
Text Classification (SP)
|
100% |
2761
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
3178
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1585
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2919
50.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3137
54.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1559
29.2 IPS |
