HP HP ZBook Power 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
1556
Single Precision Score
1640
Half Precision Score
1056
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Chineezze |
| Upload Date | March 24 2025 03:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
678
126.1 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
100% |
569
105.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
710
11.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4623
5.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
5305
6.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
3215
3.77 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
98% |
651
51.8 IPS |
|
|
Object Detection (Q)
|
86% |
637
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
1426
16.9 IPS |
|
|
Face Detection (HP)
|
100% |
1671
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
1071
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2879
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3189
24.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2130
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10024
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13374
17.2 IPS |
|
|
Style Transfer (Q)
|
98% |
7413
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1691
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2398
88.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
871
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
808
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
467
623.2 IPS |
|
|
Text Classification (Q)
|
97% |
396
529.9 IPS |
|
|
Machine Translation (SP)
|
100% |
676
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (Q)
|
70% |
359
6.73 IPS |
