HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
14648
Single Precision Score
29421
Half Precision Score
11868
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:21 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 1000 Blackwell Generation Laptop GPU |
| 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% |
6304
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
12412
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
5900
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10710
173.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
16949
274.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9823
159.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
61601
71.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
208734
243.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
61663
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
7414
588.1 IPS |
|
|
Object Detection (HP)
|
100% |
15760
1.25 KIPS |
|
|
Object Detection (Q)
|
87% |
7228
580.1 IPS |
|
|
Face Detection (SP)
|
100% |
19048
226.3 IPS |
|
|
Face Detection (HP)
|
100% |
34140
405.7 IPS |
|
|
Face Detection (Q)
|
97% |
17695
211.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
33634
259.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78853
607.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
27987
223.8 IPS |
|
|
Style Transfer (SP)
|
100% |
96173
123.6 IPS |
|
|
Style Transfer (HP)
|
100% |
334370
429.8 IPS |
|
|
Style Transfer (Q)
|
98% |
82451
106.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19047
703.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41754
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15022
556.2 IPS |
|
|
Text Classification (SP)
|
100% |
2810
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
3827
5.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1850
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4474
77.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4882
84.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1892
35.5 IPS |
