HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
8651
Single Precision Score
16921
Half Precision Score
20939
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:55 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% |
6014
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
8289
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
10656
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7429
120.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
17271
280.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20645
334.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20771
24.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
78674
91.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
166203
194.6 IPS |
|
|
Object Detection (SP)
|
100% |
5737
455.0 IPS |
|
|
Object Detection (HP)
|
100% |
9732
771.9 IPS |
|
|
Object Detection (Q)
|
88% |
11583
928.2 IPS |
|
|
Face Detection (SP)
|
100% |
10067
119.6 IPS |
|
|
Face Detection (HP)
|
100% |
19960
237.2 IPS |
|
|
Face Detection (Q)
|
100% |
26568
315.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18344
141.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34718
267.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
41069
319.2 IPS |
|
|
Style Transfer (SP)
|
100% |
50780
65.3 IPS |
|
|
Style Transfer (HP)
|
100% |
125549
161.4 IPS |
|
|
Style Transfer (Q)
|
98% |
196729
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8481
313.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20493
756.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24588
910.6 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (Q)
|
92% |
1777
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2437
42.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3955
68.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4079
70.3 IPS |
