HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3505
Single Precision Score
9259
Half Precision Score
14378
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 01:14 PM |
| Views | 7 |
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% |
2095
389.7 IPS |
|
|
Image Classification (HP)
|
100% |
6494
1.21 KIPS |
|
|
Image Classification (Q)
|
100% |
9032
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2728
44.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2809
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3868
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
34031
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73021
85.5 IPS |
|
|
Object Detection (SP)
|
100% |
1831
145.3 IPS |
|
|
Object Detection (HP)
|
100% |
5900
468.0 IPS |
|
|
Object Detection (Q)
|
87% |
9819
788.0 IPS |
|
|
Face Detection (SP)
|
100% |
5719
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
15219
180.8 IPS |
|
|
Face Detection (Q)
|
100% |
30680
364.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5348
41.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17650
136.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
32611
253.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13392
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
48782
62.7 IPS |
|
|
Style Transfer (Q)
|
98% |
92523
119.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14080
519.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23085
854.9 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
1721
2.30 KIPS |
|
|
Text Classification (Q)
|
92% |
1749
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2702
46.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3986
68.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4035
69.5 IPS |
