HP HP ZBook Power 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
3067
Single Precision Score
1282
Half Precision Score
5262
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 02:58 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G8 Mobile Workstation PC |
| Motherboard | HP 888D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2507
466.2 IPS |
|
|
Image Classification (HP)
|
100% |
417
77.6 IPS |
|
|
Image Classification (Q)
|
99% |
5491
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
739
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2857
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5350
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
4184
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
16993
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2343
185.9 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
86% |
5489
441.1 IPS |
|
|
Face Detection (SP)
|
100% |
3536
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
1220
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
7304
87.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6948
53.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1732
13.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11253
89.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12287
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9969
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
13136
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2325
85.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3379
125.1 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
664
886.3 IPS |
|
|
Text Classification (Q)
|
97% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1760
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2587
52.0 IPS |
