User | itsmemono |
Upload Date | August 15 2024 06:27 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 7700 |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 3.80 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 | 32.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2576
482.0 IPS |
|
Image Classification (F16)
|
100% |
2479
463.8 IPS |
|
Image Classification (I8)
|
99% |
5965
1.12 KIPS |
|
Image Segmentation (F32)
|
100% |
2208
36.9 IPS |
|
Image Segmentation (F16)
|
100% |
2282
38.1 IPS |
|
Image Segmentation (I8)
|
98% |
2905
48.5 IPS |
|
Pose Estimation (F32)
|
100% |
8291
10.0 IPS |
|
Pose Estimation (F16)
|
100% |
8540
10.3 IPS |
|
Pose Estimation (I8)
|
100% |
24632
29.8 IPS |
|
Object Detection (F32)
|
100% |
2545
190.0 IPS |
|
Object Detection (F16)
|
100% |
2495
186.3 IPS |
|
Object Detection (I8)
|
62% |
2477
184.9 IPS |
|
Face Detection (F32)
|
100% |
4470
53.1 IPS |
|
Face Detection (F16)
|
100% |
4360
51.8 IPS |
|
Face Detection (I8)
|
89% |
6028
71.7 IPS |
|
Depth Estimation (F32)
|
100% |
9928
77.0 IPS |
|
Depth Estimation (F16)
|
100% |
9809
76.1 IPS |
|
Depth Estimation (I8)
|
96% |
19457
150.9 IPS |
|
Style Transfer (F32)
|
100% |
18283
24.0 IPS |
|
Style Transfer (F16)
|
100% |
19790
26.0 IPS |
|
Style Transfer (I8)
|
98% |
29133
38.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
3170
113.2 IPS |
|
Image Super-Resolution (F16)
|
100% |
4069
145.3 IPS |
|
Image Super-Resolution (I8)
|
99% |
4306
153.8 IPS |
|
Text Classification (F32)
|
100% |
2234
3.21 KIPS |
|
Text Classification (F16)
|
100% |
2095
3.01 KIPS |
|
Text Classification (I8)
|
98% |
419
602.2 IPS |
|
Machine Translation (F32)
|
100% |
2982
54.9 IPS |
|
Machine Translation (F16)
|
100% |
3019
55.6 IPS |
|
Machine Translation (I8)
|
67% |
3926
72.3 IPS |