HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3455
Single Precision Score
3612
Half Precision Score
8788
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:43 PM |
| Views | 3 |
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% |
2154
400.5 IPS |
|
|
Image Classification (HP)
|
100% |
2487
462.6 IPS |
|
|
Image Classification (Q)
|
100% |
6007
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2755
44.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6040
97.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4535
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
4432
5.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
17554
20.6 IPS |
|
|
Object Detection (SP)
|
100% |
1814
143.9 IPS |
|
|
Object Detection (HP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (Q)
|
88% |
6096
488.7 IPS |
|
|
Face Detection (SP)
|
100% |
5722
68.0 IPS |
|
|
Face Detection (HP)
|
100% |
6363
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
12538
149.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5312
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5583
43.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
12922
100.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13425
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12241
15.7 IPS |
|
|
Style Transfer (Q)
|
98% |
46710
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2468
91.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9035
334.6 IPS |
|
|
Text Classification (SP)
|
100% |
2031
2.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1968
2.63 KIPS |
|
|
Text Classification (Q)
|
92% |
3982
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2432
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3830
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2600
44.8 IPS |
