HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
7951
Single Precision Score
19403
Half Precision Score
26361
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:57 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| 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% |
5365
997.7 IPS |
|
|
Image Classification (HP)
|
100% |
10057
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
14324
2.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4930
79.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15012
243.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
18620
301.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21266
24.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
88288
103.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
174055
203.8 IPS |
|
|
Object Detection (SP)
|
100% |
5525
438.3 IPS |
|
|
Object Detection (HP)
|
100% |
11615
921.3 IPS |
|
|
Object Detection (Q)
|
88% |
15423
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
6594
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
16621
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
29388
349.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17347
133.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42385
326.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
58213
452.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47934
61.6 IPS |
|
|
Style Transfer (HP)
|
100% |
133976
172.2 IPS |
|
|
Style Transfer (Q)
|
98% |
250110
322.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8718
321.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24812
916.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34911
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
92% |
3152
4.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2295
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4847
83.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4807
82.8 IPS |
