AMD RYZEN AI MAX+ PRO 395 - OpenVINO HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC
Geekbench AI Score
6531
Single Precision Score
5965
Half Precision Score
16504
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | Tycho |
| Upload Date | October 17 2025 01:02 AM |
| Views | 14 |
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 | Balanced |
| 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% |
3746
696.7 IPS |
|
|
Image Classification (HP)
|
100% |
4245
789.5 IPS |
|
|
Image Classification (Q)
|
100% |
12135
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5238
84.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3343
54.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8712
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8183
9.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
8263
9.64 IPS |
|
|
Pose Estimation (Q)
|
98% |
31128
36.4 IPS |
|
|
Object Detection (SP)
|
100% |
3970
314.9 IPS |
|
|
Object Detection (HP)
|
100% |
3326
263.8 IPS |
|
|
Object Detection (Q)
|
88% |
11351
909.9 IPS |
|
|
Face Detection (SP)
|
100% |
9866
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
9870
117.3 IPS |
|
|
Face Detection (Q)
|
100% |
27471
326.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9116
70.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
9025
69.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
28943
225.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21448
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20184
25.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77910
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5731
211.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4859
179.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14099
522.2 IPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3118
4.16 KIPS |
|
|
Text Classification (Q)
|
92% |
6072
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5505
94.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5374
92.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7571
130.4 IPS |
