HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
18530
Single Precision Score
22765
Half Precision Score
15106
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 11 2025 01:57 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8050S Graphics |
| 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 PRO 390 w/ Radeon 8050S |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9344
1.74 KIPS |
|
|
Image Classification (HP)
|
100% |
10066
1.87 KIPS |
|
|
Image Classification (Q)
|
100% |
8567
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14410
233.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
12059
195.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
12306
200.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
64831
75.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
102873
120.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
61117
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
7056
559.7 IPS |
|
|
Object Detection (HP)
|
100% |
9355
742.0 IPS |
|
|
Object Detection (Q)
|
87% |
6762
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
24423
290.2 IPS |
|
|
Face Detection (HP)
|
100% |
33512
398.2 IPS |
|
|
Face Detection (Q)
|
97% |
20888
249.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
41128
316.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
50760
391.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
34536
277.0 IPS |
|
|
Style Transfer (SP)
|
100% |
129845
166.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204806
263.3 IPS |
|
|
Style Transfer (Q)
|
98% |
118573
152.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24719
912.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32299
1.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20230
749.1 IPS |
|
|
Text Classification (SP)
|
100% |
3834
5.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3997
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2689
3.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6270
108.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7118
122.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3053
57.3 IPS |
