HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
9976
Single Precision Score
19702
Half Precision Score
7604
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 500 Ada Generation Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook 8 G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8D94 |
| Power Plan | UoA-Power Plan-Peak-15 min sleep |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3975
739.3 IPS |
|
|
Image Classification (HP)
|
99% |
9348
1.74 KIPS |
|
|
Image Classification (Q)
|
99% |
3726
694.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6713
108.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13241
214.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
6559
106.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
35643
41.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
102789
119.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
26655
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
4913
389.7 IPS |
|
|
Object Detection (HP)
|
100% |
10627
842.9 IPS |
|
|
Object Detection (Q)
|
84% |
4358
351.5 IPS |
|
|
Face Detection (SP)
|
100% |
9733
115.6 IPS |
|
|
Face Detection (HP)
|
100% |
19023
226.0 IPS |
|
|
Face Detection (Q)
|
97% |
8575
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
24316
187.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
48574
374.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
17199
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59375
76.3 IPS |
|
|
Style Transfer (HP)
|
100% |
196317
252.4 IPS |
|
|
Style Transfer (Q)
|
98% |
49308
63.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16340
603.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28892
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
11376
421.2 IPS |
|
|
Text Classification (SP)
|
100% |
2714
3.62 KIPS |
|
|
Text Classification (HP)
|
99% |
3471
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1710
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3353
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3584
61.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1610
30.2 IPS |
