HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
7793
Single Precision Score
18900
Half Precision Score
25718
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | September 08 2025 11:18 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook X G1i 16 inch Mobile Workstation PC |
| Motherboard | HP 8E1D |
| Power Plan | HP Optimized (Modern Standby) |
| 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% |
5348
994.5 IPS |
|
|
Image Classification (HP)
|
100% |
9969
1.85 KIPS |
|
|
Image Classification (Q)
|
100% |
13423
2.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4781
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14561
236.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18376
297.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
21032
24.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
85966
100.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
171585
200.9 IPS |
|
|
Object Detection (SP)
|
100% |
5461
433.2 IPS |
|
|
Object Detection (HP)
|
100% |
11355
900.7 IPS |
|
|
Object Detection (Q)
|
88% |
15209
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
6477
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
16316
193.9 IPS |
|
|
Face Detection (Q)
|
100% |
28394
337.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16366
126.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
40570
312.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
57217
444.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47504
61.1 IPS |
|
|
Style Transfer (HP)
|
100% |
132513
170.3 IPS |
|
|
Style Transfer (Q)
|
98% |
237662
306.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8653
319.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24555
906.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34406
1.27 KIPS |
|
|
Text Classification (SP)
|
100% |
2863
3.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4182
5.58 KIPS |
|
|
Text Classification (Q)
|
92% |
3051
4.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4558
78.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4852
83.6 IPS |
