Upload Date | July 15 2024 03:35 PM |
Views | 2 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Enterprise (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650I AX |
Motherboard | Gigabyte Technology Co., Ltd. B650I AX |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 7800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 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 | 96.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 2080 Ti |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
7529
1.41 KIPS |
|
Image Classification (F16)
|
100% |
7451
1.39 KIPS |
|
Image Classification (I8)
|
100% |
4976
931.2 IPS |
|
Image Segmentation (F32)
|
100% |
10413
173.9 IPS |
|
Image Segmentation (F16)
|
100% |
10103
168.7 IPS |
|
Image Segmentation (I8)
|
98% |
7738
129.2 IPS |
|
Pose Estimation (F32)
|
100% |
72812
88.2 IPS |
|
Pose Estimation (F16)
|
100% |
72875
88.2 IPS |
|
Pose Estimation (I8)
|
100% |
61044
73.9 IPS |
|
Object Detection (F32)
|
100% |
4740
353.9 IPS |
|
Object Detection (F16)
|
100% |
4731
353.2 IPS |
|
Object Detection (I8)
|
63% |
3727
278.2 IPS |
|
Face Detection (F32)
|
100% |
20873
248.2 IPS |
|
Face Detection (F16)
|
100% |
22158
263.5 IPS |
|
Face Detection (I8)
|
89% |
15686
186.5 IPS |
|
Depth Estimation (F32)
|
100% |
47580
369.0 IPS |
|
Depth Estimation (F16)
|
100% |
34899
270.6 IPS |
|
Depth Estimation (I8)
|
95% |
22389
173.6 IPS |
|
Style Transfer (F32)
|
100% |
196927
259.0 IPS |
|
Style Transfer (F16)
|
100% |
144779
190.4 IPS |
|
Style Transfer (I8)
|
98% |
109277
143.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
23572
841.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
23173
827.6 IPS |
|
Image Super-Resolution (I8)
|
99% |
13212
471.8 IPS |
|
Text Classification (F32)
|
100% |
1446
2.08 KIPS |
|
Text Classification (F16)
|
100% |
1846
2.65 KIPS |
|
Text Classification (I8)
|
98% |
820
1.18 KIPS |
|
Machine Translation (F32)
|
100% |
3747
68.9 IPS |
|
Machine Translation (F16)
|
100% |
3717
68.4 IPS |
|
Machine Translation (I8)
|
70% |
1649
30.3 IPS |