HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
6185
Single Precision Score
6381
Half Precision Score
16412
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | SpaceDok |
| Upload Date | May 25 2025 10:20 PM |
| Views | 5 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3791
705.0 IPS |
|
|
Image Classification (HP)
|
100% |
4387
815.8 IPS |
|
|
Image Classification (Q)
|
100% |
11750
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4993
80.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4342
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8541
138.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9118
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8951
10.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
33170
38.8 IPS |
|
|
Object Detection (SP)
|
100% |
3510
278.4 IPS |
|
|
Object Detection (HP)
|
100% |
3463
274.7 IPS |
|
|
Object Detection (Q)
|
88% |
10864
870.9 IPS |
|
|
Face Detection (SP)
|
100% |
8933
106.1 IPS |
|
|
Face Detection (HP)
|
100% |
9743
115.8 IPS |
|
|
Face Detection (Q)
|
100% |
30436
361.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8863
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
10630
81.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24803
193.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22250
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22994
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
77413
99.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4461
164.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17894
662.7 IPS |
|
|
Text Classification (SP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (HP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (Q)
|
92% |
4826
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5010
86.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7770
133.8 IPS |
