HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
2960
Single Precision Score
1398
Half Precision Score
6195
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 11:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
2133
396.6 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.1 IPS |
|
|
Image Classification (Q)
|
99% |
5153
961.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1317
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7319
119.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4831
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3690
4.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
17656
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
2096
166.2 IPS |
|
|
Object Detection (HP)
|
100% |
644
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
5526
444.1 IPS |
|
|
Face Detection (SP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (HP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
7281
86.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5918
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1978
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12540
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11779
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
8649
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19231
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1879
69.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1702
62.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4273
158.2 IPS |
|
|
Text Classification (SP)
|
100% |
1252
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
645
861.2 IPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1828
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2665
53.6 IPS |
