HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
5793
Single Precision Score
2061
Half Precision Score
9776
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 05:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI Max+ 395 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4822
896.7 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.7 IPS |
|
|
Image Classification (Q)
|
99% |
10503
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13534
220.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12375
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
9135
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
41390
48.5 IPS |
|
|
Object Detection (SP)
|
100% |
4284
339.8 IPS |
|
|
Object Detection (HP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (Q)
|
86% |
11529
926.6 IPS |
|
|
Face Detection (SP)
|
100% |
11174
132.8 IPS |
|
|
Face Detection (HP)
|
100% |
1997
23.7 IPS |
|
|
Face Detection (Q)
|
97% |
12058
143.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14376
110.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2800
21.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10157
81.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26119
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21413
27.5 IPS |
|
|
Style Transfer (Q)
|
98% |
48754
62.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3582
132.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3844
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1405
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3687
63.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
65% |
3647
73.3 IPS |
