HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
7455
Single Precision Score
15400
Half Precision Score
19031
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 01:01 PM |
| Views | 3 |
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% |
5205
968.0 IPS |
|
|
Image Classification (HP)
|
100% |
8068
1.50 KIPS |
|
|
Image Classification (Q)
|
100% |
10623
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7176
116.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16000
259.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18385
298.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
19865
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
62688
73.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
126795
148.4 IPS |
|
|
Object Detection (SP)
|
100% |
5392
427.7 IPS |
|
|
Object Detection (HP)
|
100% |
9185
728.5 IPS |
|
|
Object Detection (Q)
|
88% |
11124
891.4 IPS |
|
|
Face Detection (SP)
|
100% |
9623
114.3 IPS |
|
|
Face Detection (HP)
|
100% |
18498
219.8 IPS |
|
|
Face Detection (Q)
|
100% |
24519
291.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16854
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
32742
252.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
40368
313.8 IPS |
|
|
Style Transfer (SP)
|
100% |
46410
59.7 IPS |
|
|
Style Transfer (HP)
|
100% |
104581
134.4 IPS |
|
|
Style Transfer (Q)
|
98% |
170912
220.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7483
276.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19167
707.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22591
836.6 IPS |
|
|
Text Classification (SP)
|
100% |
1060
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
2172
2.90 KIPS |
|
|
Text Classification (Q)
|
92% |
1581
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2222
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3830
66.2 IPS |
|
|
Machine Translation (Q)
|
100% |
3746
64.5 IPS |
