HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
8332
Single Precision Score
16562
Half Precision Score
20575
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:51 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro 140T GPU (16GB) (iGPU) |
| 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% |
4882
907.9 IPS |
|
|
Image Classification (HP)
|
100% |
7720
1.44 KIPS |
|
|
Image Classification (Q)
|
100% |
10770
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6903
111.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
16909
274.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19827
321.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20391
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
69357
80.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
143466
168.0 IPS |
|
|
Object Detection (SP)
|
100% |
5867
465.4 IPS |
|
|
Object Detection (HP)
|
100% |
9690
768.6 IPS |
|
|
Object Detection (Q)
|
88% |
11321
907.3 IPS |
|
|
Face Detection (SP)
|
100% |
9772
116.1 IPS |
|
|
Face Detection (HP)
|
100% |
18980
225.5 IPS |
|
|
Face Detection (Q)
|
100% |
26260
312.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17395
134.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
34476
265.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
43339
336.9 IPS |
|
|
Style Transfer (SP)
|
100% |
52114
67.0 IPS |
|
|
Style Transfer (HP)
|
100% |
124080
159.5 IPS |
|
|
Style Transfer (Q)
|
98% |
191659
247.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8507
314.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21145
780.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24075
891.6 IPS |
|
|
Text Classification (SP)
|
100% |
2236
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
2560
3.42 KIPS |
|
|
Text Classification (Q)
|
92% |
1818
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2375
40.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4028
69.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4107
70.8 IPS |
