HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
6014
Single Precision Score
6532
Half Precision Score
14738
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | AdamOp |
| Upload Date | September 07 2025 11:20 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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% |
4228
786.4 IPS |
|
|
Image Classification (HP)
|
100% |
4707
875.3 IPS |
|
|
Image Classification (Q)
|
100% |
10781
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4537
73.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2869
46.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10106
163.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8552
9.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
8235
9.61 IPS |
|
|
Pose Estimation (Q)
|
96% |
29199
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3078
244.1 IPS |
|
|
Object Detection (HP)
|
100% |
4414
350.1 IPS |
|
|
Object Detection (Q)
|
88% |
10753
862.0 IPS |
|
|
Face Detection (SP)
|
100% |
8777
104.3 IPS |
|
|
Face Detection (HP)
|
100% |
11861
140.9 IPS |
|
|
Face Detection (Q)
|
100% |
19001
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8846
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
10151
78.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
24577
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23707
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23518
30.2 IPS |
|
|
Style Transfer (Q)
|
98% |
79385
102.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4562
168.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16741
620.0 IPS |
|
|
Text Classification (SP)
|
100% |
3789
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3117
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
6043
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3858
66.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6096
105.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3771
65.0 IPS |
