HP HP ZBook Power 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
2277
Single Precision Score
3351
Half Precision Score
5259
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 03:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| 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% |
1364
253.6 IPS |
|
|
Image Classification (HP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (Q)
|
99% |
3511
654.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3424
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4032
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3864
4.51 IPS |
|
|
Pose Estimation (HP)
|
99% |
2845
3.32 IPS |
|
|
Pose Estimation (Q)
|
97% |
11792
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1298
103.0 IPS |
|
|
Object Detection (HP)
|
98% |
2066
164.4 IPS |
|
|
Object Detection (Q)
|
90% |
3853
308.1 IPS |
|
|
Face Detection (SP)
|
100% |
3418
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
6393
76.0 IPS |
|
|
Face Detection (Q)
|
100% |
9151
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4573
35.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
7603
58.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10203
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10017
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
15952
20.5 IPS |
|
|
Style Transfer (Q)
|
98% |
26879
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1822
67.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3004
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6085
225.4 IPS |
|
|
Text Classification (SP)
|
71% |
985
1.43 KIPS |
|
|
Text Classification (HP)
|
71% |
1189
1.72 KIPS |
|
|
Text Classification (Q)
|
92% |
1228
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1362
23.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1344
23.1 IPS |
