HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
8182
Single Precision Score
16757
Half Precision Score
19389
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:59 PM |
| Views | 5 |
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% |
4870
905.7 IPS |
|
|
Image Classification (HP)
|
100% |
7855
1.46 KIPS |
|
|
Image Classification (Q)
|
100% |
10652
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7350
119.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17722
287.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
17125
277.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20102
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
77942
90.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
128332
150.2 IPS |
|
|
Object Detection (SP)
|
100% |
5652
448.3 IPS |
|
|
Object Detection (HP)
|
100% |
8953
710.1 IPS |
|
|
Object Detection (Q)
|
88% |
10273
823.2 IPS |
|
|
Face Detection (SP)
|
100% |
8847
105.1 IPS |
|
|
Face Detection (HP)
|
100% |
19123
227.2 IPS |
|
|
Face Detection (Q)
|
100% |
26344
313.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16426
126.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39145
301.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
41725
324.3 IPS |
|
|
Style Transfer (SP)
|
100% |
50378
64.8 IPS |
|
|
Style Transfer (HP)
|
100% |
121150
155.7 IPS |
|
|
Style Transfer (Q)
|
98% |
201021
259.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8513
314.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20261
748.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20705
766.8 IPS |
|
|
Text Classification (SP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2509
3.35 KIPS |
|
|
Text Classification (Q)
|
92% |
1790
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2351
40.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3899
67.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3813
65.7 IPS |
