HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
5201
Single Precision Score
2203
Half Precision Score
9735
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:04 PM |
| Views | 5 |
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 X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| 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% |
4107
763.8 IPS |
|
|
Image Classification (HP)
|
100% |
815
151.6 IPS |
|
|
Image Classification (Q)
|
99% |
8908
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12345
200.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9434
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6302
7.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
31768
37.2 IPS |
|
|
Object Detection (SP)
|
100% |
3702
293.6 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
9142
734.7 IPS |
|
|
Face Detection (SP)
|
100% |
9694
115.2 IPS |
|
|
Face Detection (HP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
11183
133.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10713
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2935
22.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
19766
157.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20433
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15110
19.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22731
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3885
143.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2735
101.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6627
245.4 IPS |
|
|
Text Classification (SP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (HP)
|
100% |
1001
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
1755
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2940
50.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4097
82.3 IPS |
