| Upload Date | November 15 2025 03:09 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| 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 Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5668
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
747
138.8 IPS |
|
|
Image Classification (Q)
|
99% |
12094
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1383
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1204
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
15802
256.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15012
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
11524
13.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
47859
56.1 IPS |
|
|
Object Detection (SP)
|
100% |
4830
383.1 IPS |
|
|
Object Detection (HP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (Q)
|
86% |
12766
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
12129
144.1 IPS |
|
|
Face Detection (HP)
|
100% |
1970
23.4 IPS |
|
|
Face Detection (Q)
|
97% |
13321
158.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16016
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3210
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11157
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29966
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26153
33.6 IPS |
|
|
Style Transfer (Q)
|
98% |
47902
61.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3514
129.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5347
198.0 IPS |
|
|
Text Classification (SP)
|
100% |
2542
3.39 KIPS |
|
|
Text Classification (HP)
|
100% |
974
1.30 KIPS |
|
|
Text Classification (Q)
|
97% |
1960
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3200
55.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1090
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4356
87.5 IPS |