HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3113
Single Precision Score
1381
Half Precision Score
6173
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 11:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2244
417.2 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
99% |
5117
954.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1489
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
935
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7138
116.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4989
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
3665
4.28 IPS |
|
|
Pose Estimation (Q)
|
94% |
17303
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
2046
162.3 IPS |
|
|
Object Detection (HP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
5377
432.2 IPS |
|
|
Face Detection (SP)
|
100% |
6366
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
1518
18.0 IPS |
|
|
Face Detection (Q)
|
97% |
7169
85.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6024
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1972
15.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
12406
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12033
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
8920
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
19738
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2350
86.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1621
59.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4228
156.6 IPS |
|
|
Text Classification (SP)
|
100% |
1265
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
597
796.4 IPS |
|
|
Text Classification (Q)
|
97% |
1188
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
1829
31.5 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2685
54.0 IPS |
