HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
5276
Single Precision Score
5198
Half Precision Score
15395
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tono82 |
| Upload Date | July 20 2025 12:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX 390 w/ Radeon 8050S |
| 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% |
2519
468.4 IPS |
|
|
Image Classification (HP)
|
100% |
2771
515.3 IPS |
|
|
Image Classification (Q)
|
100% |
10131
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3301
53.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3311
53.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9272
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7435
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
7235
8.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
29970
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
3281
260.2 IPS |
|
|
Object Detection (HP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (Q)
|
88% |
9483
760.2 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
7257
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
19561
232.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9374
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6516
50.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
23527
183.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18306
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18164
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
80338
103.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4109
151.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4610
170.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15532
575.2 IPS |
|
|
Text Classification (SP)
|
100% |
3848
5.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3813
5.09 KIPS |
|
|
Text Classification (Q)
|
92% |
6565
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4954
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5769
99.4 IPS |
|
|
Machine Translation (Q)
|
100% |
7434
128.0 IPS |
