| Upload Date | November 15 2025 03:33 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
| 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% |
11133
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
11841
2.20 KIPS |
|
|
Image Classification (Q)
|
100% |
10044
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18182
294.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16427
266.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15561
253.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
80690
94.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
299720
349.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
76660
89.8 IPS |
|
|
Object Detection (SP)
|
100% |
6647
527.3 IPS |
|
|
Object Detection (HP)
|
100% |
10763
853.7 IPS |
|
|
Object Detection (Q)
|
87% |
6584
528.8 IPS |
|
|
Face Detection (SP)
|
100% |
26403
313.7 IPS |
|
|
Face Detection (HP)
|
100% |
45267
537.9 IPS |
|
|
Face Detection (Q)
|
97% |
18444
219.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40174
309.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50120
386.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
33778
270.9 IPS |
|
|
Style Transfer (SP)
|
100% |
163581
210.3 IPS |
|
|
Style Transfer (HP)
|
100% |
375666
482.9 IPS |
|
|
Style Transfer (Q)
|
98% |
140199
180.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34350
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52939
1.95 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26731
989.8 IPS |
|
|
Text Classification (SP)
|
100% |
4116
5.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4325
5.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2806
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
6867
118.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8042
138.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3187
59.8 IPS |