HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
18080
Single Precision Score
21764
Half Precision Score
14607
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | July 20 2025 12:56 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8050S Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (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 390 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8810
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
9622
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
8094
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14361
232.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11746
190.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
12219
198.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
67747
79.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
107154
125.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61872
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
6908
548.0 IPS |
|
|
Object Detection (HP)
|
100% |
8829
700.3 IPS |
|
|
Object Detection (Q)
|
87% |
6619
531.6 IPS |
|
|
Face Detection (SP)
|
100% |
23685
281.4 IPS |
|
|
Face Detection (HP)
|
100% |
31471
373.9 IPS |
|
|
Face Detection (Q)
|
97% |
20719
247.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
39954
307.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48198
371.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
34760
278.8 IPS |
|
|
Style Transfer (SP)
|
100% |
130599
167.9 IPS |
|
|
Style Transfer (HP)
|
100% |
202087
259.8 IPS |
|
|
Style Transfer (Q)
|
98% |
112334
144.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22502
830.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29134
1.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18512
685.5 IPS |
|
|
Text Classification (SP)
|
100% |
3609
4.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3758
5.02 KIPS |
|
|
Text Classification (Q)
|
97% |
2462
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
6281
108.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6647
114.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2961
55.5 IPS |
