| User | zedmanauk |
| Upload Date | September 03 2025 04:34 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited DeskMini Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd F1FXM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12439
2.31 KIPS |
|
|
Image Classification (HP)
|
99% |
17584
3.28 KIPS |
|
|
Image Classification (Q)
|
100% |
10643
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22069
357.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31149
505.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20716
336.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
186491
217.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
464308
541.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
166123
194.6 IPS |
|
|
Object Detection (SP)
|
100% |
15414
1.22 KIPS |
|
|
Object Detection (HP)
|
100% |
22610
1.79 KIPS |
|
|
Object Detection (Q)
|
85% |
12987
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
45711
543.1 IPS |
|
|
Face Detection (HP)
|
100% |
62618
744.0 IPS |
|
|
Face Detection (Q)
|
97% |
38914
464.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
79281
610.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
133571
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
60585
484.4 IPS |
|
|
Style Transfer (SP)
|
100% |
336160
432.1 IPS |
|
|
Style Transfer (HP)
|
100% |
796668
1.02 KIPS |
|
|
Style Transfer (Q)
|
98% |
296761
382.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48756
1.80 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61108
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34970
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4055
5.41 KIPS |
|
|
Text Classification (Q)
|
97% |
2046
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5994
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5985
103.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2753
51.6 IPS |