Upload Date | September 21 2024 04:10 AM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
Model | ASUSTeK COMPUTER INC. ROG Ally X RC72LA_RC72LA |
Motherboard | ASUSTeK COMPUTER INC. RC72LA |
Power Plan | Turbo |
CPU Information | |
---|---|
Name | AMD Ryzen Z1 Extreme |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
Base Frequency | 3.30 GHz |
Cluster 1 | 8 Cores |
L1 Instruction Cache | 32.0 KB x 8 |
L1 Data Cache | 32.0 KB x 8 |
L2 Cache | 1.00 MB x 8 |
L3 Cache | 16.0 MB x 1 |
Memory Information | |
---|---|
Size | 24.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon Graphics |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3075
575.4 IPS |
|
Image Classification (F16)
|
100% |
2965
554.8 IPS |
|
Image Classification (I8)
|
100% |
2651
496.0 IPS |
|
Image Segmentation (F32)
|
100% |
2769
46.2 IPS |
|
Image Segmentation (F16)
|
100% |
2766
46.2 IPS |
|
Image Segmentation (I8)
|
98% |
2406
40.2 IPS |
|
Pose Estimation (F32)
|
100% |
37364
45.2 IPS |
|
Pose Estimation (F16)
|
100% |
36565
44.3 IPS |
|
Pose Estimation (I8)
|
100% |
28774
34.8 IPS |
|
Object Detection (F32)
|
100% |
1756
131.1 IPS |
|
Object Detection (F16)
|
100% |
1803
134.6 IPS |
|
Object Detection (I8)
|
62% |
1758
131.2 IPS |
|
Face Detection (F32)
|
100% |
5941
70.6 IPS |
|
Face Detection (F16)
|
100% |
6030
71.7 IPS |
|
Face Detection (I8)
|
89% |
4650
55.3 IPS |
|
Depth Estimation (F32)
|
100% |
15341
119.0 IPS |
|
Depth Estimation (F16)
|
100% |
15870
123.1 IPS |
|
Depth Estimation (I8)
|
95% |
12802
99.3 IPS |
|
Style Transfer (F32)
|
100% |
29315
38.6 IPS |
|
Style Transfer (F16)
|
100% |
29380
38.6 IPS |
|
Style Transfer (I8)
|
98% |
26181
34.4 IPS |
|
Image Super-Resolution (F32)
|
100% |
5901
210.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
5804
207.3 IPS |
|
Image Super-Resolution (I8)
|
99% |
4444
158.7 IPS |
|
Text Classification (F32)
|
100% |
1396
2.01 KIPS |
|
Text Classification (F16)
|
100% |
1382
1.99 KIPS |
|
Text Classification (I8)
|
98% |
1178
1.69 KIPS |
|
Machine Translation (F32)
|
100% |
2422
44.6 IPS |
|
Machine Translation (F16)
|
100% |
2348
43.2 IPS |
|
Machine Translation (I8)
|
70% |
1597
29.4 IPS |