HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3354
Single Precision Score
9395
Half Precision Score
14588
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 01:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
6667
1.24 KIPS |
|
|
Image Classification (Q)
|
100% |
9360
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2664
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3651
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4541
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
33464
39.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
73134
85.7 IPS |
|
|
Object Detection (SP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
6088
482.9 IPS |
|
|
Object Detection (Q)
|
87% |
9886
793.4 IPS |
|
|
Face Detection (SP)
|
100% |
5677
67.5 IPS |
|
|
Face Detection (HP)
|
100% |
15425
183.3 IPS |
|
|
Face Detection (Q)
|
100% |
31110
369.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5259
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
17411
134.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
33546
261.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13268
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49784
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92738
119.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2446
90.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14091
520.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23151
857.4 IPS |
|
|
Text Classification (SP)
|
100% |
2233
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (Q)
|
92% |
1926
2.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2630
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4091
70.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4095
70.5 IPS |
