HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
3427
Single Precision Score
3621
Half Precision Score
8795
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
1780
330.9 IPS |
|
|
Image Classification (HP)
|
100% |
2477
460.6 IPS |
|
|
Image Classification (Q)
|
100% |
5990
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2656
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5870
95.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4549
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4309
5.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
16632
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
1774
140.7 IPS |
|
|
Object Detection (HP)
|
100% |
2276
180.5 IPS |
|
|
Object Detection (Q)
|
88% |
6253
501.3 IPS |
|
|
Face Detection (SP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
6464
76.8 IPS |
|
|
Face Detection (Q)
|
100% |
13023
154.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5237
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5574
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
14699
114.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13478
17.3 IPS |
|
|
Style Transfer (HP)
|
100% |
12676
16.3 IPS |
|
|
Style Transfer (Q)
|
98% |
45101
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2487
91.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2814
103.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9045
335.0 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
1986
2.65 KIPS |
|
|
Text Classification (Q)
|
92% |
3968
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2648
45.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3714
64.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2445
42.1 IPS |
