HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3513
Single Precision Score
3597
Half Precision Score
8874
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
2108
391.9 IPS |
|
|
Image Classification (HP)
|
100% |
2390
444.4 IPS |
|
|
Image Classification (Q)
|
100% |
5974
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2738
44.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5887
95.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
4508
5.26 IPS |
|
|
Pose Estimation (Q)
|
96% |
17441
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.5 IPS |
|
|
Object Detection (HP)
|
100% |
2165
171.7 IPS |
|
|
Object Detection (Q)
|
88% |
5950
477.0 IPS |
|
|
Face Detection (SP)
|
100% |
5810
69.0 IPS |
|
|
Face Detection (HP)
|
100% |
6471
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
12745
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5358
41.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5563
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14828
115.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13294
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12854
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46267
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2498
92.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9142
338.6 IPS |
|
|
Text Classification (SP)
|
100% |
2180
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (Q)
|
92% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3780
65.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2660
45.8 IPS |
