HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
14514
Single Precision Score
29233
Half Precision Score
11931
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:10 PM |
| Views | 4 |
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% |
6220
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
12426
2.31 KIPS |
|
|
Image Classification (Q)
|
99% |
5969
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10290
166.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
16997
275.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9623
156.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
62412
72.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
208620
243.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
61612
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
7253
575.3 IPS |
|
|
Object Detection (HP)
|
100% |
15641
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
7208
578.4 IPS |
|
|
Face Detection (SP)
|
100% |
19059
226.5 IPS |
|
|
Face Detection (HP)
|
100% |
34528
410.3 IPS |
|
|
Face Detection (Q)
|
97% |
17788
212.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33132
255.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
77581
597.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
28900
231.1 IPS |
|
|
Style Transfer (SP)
|
100% |
93735
120.5 IPS |
|
|
Style Transfer (HP)
|
100% |
331687
426.4 IPS |
|
|
Style Transfer (Q)
|
98% |
83236
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18312
676.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42888
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15065
557.8 IPS |
|
|
Text Classification (SP)
|
100% |
2986
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3586
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1924
2.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4426
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4840
83.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1848
34.7 IPS |
