| Upload Date | October 24 2025 01:39 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3912
727.5 IPS |
|
|
Image Classification (HP)
|
100% |
4152
772.1 IPS |
|
|
Image Classification (Q)
|
100% |
11430
2.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3269
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4634
75.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8412
136.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8344
9.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
8371
9.77 IPS |
|
|
Pose Estimation (Q)
|
98% |
32010
37.5 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
3993
316.7 IPS |
|
|
Object Detection (Q)
|
88% |
9317
746.9 IPS |
|
|
Face Detection (SP)
|
100% |
9342
111.0 IPS |
|
|
Face Detection (HP)
|
100% |
8038
95.5 IPS |
|
|
Face Detection (Q)
|
100% |
22869
271.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10389
80.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9813
75.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
29233
227.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21904
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20915
26.9 IPS |
|
|
Style Transfer (Q)
|
98% |
69599
89.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4115
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4926
181.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15845
586.8 IPS |
|
|
Text Classification (SP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3532
4.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5720
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4885
84.1 IPS |
|
|
Machine Translation (Q)
|
100% |
7556
130.2 IPS |