| User | TBayliss |
| Upload Date | September 04 2024 11:01 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited V3 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd HPPAC |
| Power Plan | Optimized Power Saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2707
503.4 IPS |
|
|
Image Classification (HP)
|
100% |
4161
773.9 IPS |
|
|
Image Classification (Q)
|
100% |
2266
421.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3863
62.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4398
71.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3192
51.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
38885
45.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
66320
77.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
29737
34.8 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
100% |
3501
277.7 IPS |
|
|
Object Detection (Q)
|
89% |
2034
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
8677
103.1 IPS |
|
|
Face Detection (Q)
|
97% |
4168
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16062
123.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
23737
182.9 IPS |
|
|
Depth Estimation (Q)
|
73% |
12105
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
65600
84.3 IPS |
|
|
Style Transfer (HP)
|
100% |
105060
135.1 IPS |
|
|
Style Transfer (Q)
|
98% |
48380
62.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13548
500.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18738
691.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8756
324.2 IPS |
|
|
Text Classification (SP)
|
100% |
2217
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2476
3.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1584
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2650
45.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1295
28.9 IPS |