HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
6483
Single Precision Score
6430
Half Precision Score
16888
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Eikka71 |
| Upload Date | May 23 2025 10:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| 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 395 w/ Radeon 8060S |
| 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% |
4913
913.7 IPS |
|
|
Image Classification (HP)
|
100% |
4096
761.7 IPS |
|
|
Image Classification (Q)
|
100% |
12900
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4249
68.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4866
78.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11648
188.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8967
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9137
10.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
32581
38.1 IPS |
|
|
Object Detection (SP)
|
100% |
3558
282.2 IPS |
|
|
Object Detection (HP)
|
100% |
3653
289.7 IPS |
|
|
Object Detection (Q)
|
88% |
11302
906.0 IPS |
|
|
Face Detection (SP)
|
100% |
9565
113.7 IPS |
|
|
Face Detection (HP)
|
100% |
9478
112.6 IPS |
|
|
Face Detection (Q)
|
100% |
27513
326.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9512
73.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8776
67.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
24805
193.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22581
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22936
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
66814
86.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4649
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4889
180.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15369
569.2 IPS |
|
|
Text Classification (SP)
|
100% |
3490
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
3322
4.43 KIPS |
|
|
Text Classification (Q)
|
92% |
5676
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5911
101.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5869
101.1 IPS |
|
|
Machine Translation (Q)
|
100% |
8578
147.8 IPS |
