| Upload Date | November 09 2025 07:03 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Ubuntu 25.10 |
| Model | HP HP ZBook Ultra G1a 14 inch Mobile Workstation PC |
| Motherboard | HP 8D01 |
| 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 | 5.19 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 45.56 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
43
8.04 IPS |
|
|
Image Classification (HP)
|
100% |
40
7.38 IPS |
|
|
Image Classification (Q)
|
97% |
32
6.04 IPS |
|
|
Image Segmentation (SP)
|
100% |
61
0.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
68
1.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
34
0.55 IPS |
|
|
Pose Estimation (SP)
|
100% |
47
0.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
48
0.06 IPS |
|
|
Pose Estimation (Q)
|
96% |
47
0.05 IPS |
|
|
Object Detection (SP)
|
100% |
24
1.94 IPS |
|
|
Object Detection (HP)
|
100% |
52
4.16 IPS |
|
|
Object Detection (Q)
|
87% |
42
3.39 IPS |
|
|
Face Detection (SP)
|
100% |
186
2.21 IPS |
|
|
Face Detection (HP)
|
100% |
190
2.26 IPS |
|
|
Face Detection (Q)
|
97% |
151
1.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
124
0.95 IPS |
|
|
Depth Estimation (HP)
|
99% |
122
0.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
87
0.80 IPS |
|
|
Style Transfer (SP)
|
100% |
260
0.33 IPS |
|
|
Style Transfer (HP)
|
100% |
252
0.32 IPS |
|
|
Style Transfer (Q)
|
98% |
223
0.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54
2.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52
1.93 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
46
1.69 IPS |
|
|
Text Classification (SP)
|
100% |
105
140.0 IPS |
|
|
Text Classification (HP)
|
100% |
107
142.7 IPS |
|
|
Text Classification (Q)
|
91% |
76
102.2 IPS |
|
|
Machine Translation (SP)
|
100% |
112
1.93 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
58% |
61
1.45 IPS |