HP HP ZBook X G1i 16 inch Mobile Workstation PC
Geekbench AI Score
14667
Single Precision Score
29572
Half Precision Score
11910
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | December 01 2025 02:15 PM |
| Views | 8 |
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% |
6375
1.19 KIPS |
|
|
Image Classification (HP)
|
100% |
13128
2.44 KIPS |
|
|
Image Classification (Q)
|
99% |
6005
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10401
168.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17154
278.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9583
155.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
62130
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
216690
252.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
61534
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
7376
585.1 IPS |
|
|
Object Detection (HP)
|
100% |
14923
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
7227
580.0 IPS |
|
|
Face Detection (SP)
|
100% |
19214
228.3 IPS |
|
|
Face Detection (HP)
|
100% |
34251
407.0 IPS |
|
|
Face Detection (Q)
|
97% |
17666
210.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33409
257.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
77368
596.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
28180
225.3 IPS |
|
|
Style Transfer (SP)
|
100% |
96427
124.0 IPS |
|
|
Style Transfer (HP)
|
100% |
334489
430.0 IPS |
|
|
Style Transfer (Q)
|
98% |
83203
107.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18948
699.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
43060
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15076
558.2 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3842
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1949
2.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4360
75.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4790
82.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1845
34.6 IPS |
