HP HP ZBook 8 G1i 16 inch Mobile Workstation PC
Geekbench AI Score
9785
Single Precision Score
19685
Half Precision Score
7484
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | October 28 2025 12:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 500 Ada Generation Laptop GPU |
| 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% |
3918
728.7 IPS |
|
|
Image Classification (HP)
|
99% |
9110
1.70 KIPS |
|
|
Image Classification (Q)
|
99% |
3674
685.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
8127
131.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12261
198.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
5884
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
30328
35.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
106032
123.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
27142
31.8 IPS |
|
|
Object Detection (SP)
|
100% |
4703
373.0 IPS |
|
|
Object Detection (HP)
|
100% |
10371
822.7 IPS |
|
|
Object Detection (Q)
|
84% |
4210
339.6 IPS |
|
|
Face Detection (SP)
|
100% |
9807
116.5 IPS |
|
|
Face Detection (HP)
|
100% |
19219
228.4 IPS |
|
|
Face Detection (Q)
|
97% |
8597
102.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
19869
153.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
49356
380.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
16428
131.6 IPS |
|
|
Style Transfer (SP)
|
100% |
58309
75.0 IPS |
|
|
Style Transfer (HP)
|
100% |
218167
280.5 IPS |
|
|
Style Transfer (Q)
|
98% |
50966
65.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16317
602.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27010
997.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11107
411.3 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
3574
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
1719
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3401
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3561
61.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1624
30.5 IPS |
