HP HP ZBook 8 G1i 14 inch Mobile Workstation PC
Geekbench AI Score
5149
Single Precision Score
5452
Half Precision Score
12624
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IAMTESTING |
| Upload Date | November 10 2025 06:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 255H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook 8 G1i 14 inch Mobile Workstation PC |
| Motherboard | HP 8D94 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 255H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3421
636.2 IPS |
|
|
Image Classification (HP)
|
100% |
3828
711.8 IPS |
|
|
Image Classification (Q)
|
100% |
8878
1.65 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3976
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2477
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9226
149.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7115
8.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
6747
7.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
25673
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
2870
227.7 IPS |
|
|
Object Detection (HP)
|
100% |
3584
284.3 IPS |
|
|
Object Detection (Q)
|
88% |
9315
746.7 IPS |
|
|
Face Detection (SP)
|
100% |
8679
103.1 IPS |
|
|
Face Detection (HP)
|
100% |
9766
116.0 IPS |
|
|
Face Detection (Q)
|
100% |
17741
210.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7849
60.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8488
65.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
22029
171.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20473
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19074
24.5 IPS |
|
|
Style Transfer (Q)
|
98% |
68666
88.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3622
133.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4298
158.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12970
480.3 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5273
7.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2890
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5359
92.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2861
49.3 IPS |
