Upload Date | August 17 2024 09:57 PM |
Views | 1 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
Motherboard | Gigabyte Technology Co., Ltd. Z77X-UD5H |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-3770K |
Topology | 1 Processor, 4 Cores, 8 Threads |
Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
Base Frequency | 3.90 GHz |
Cluster 1 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 4 |
L1 Data Cache | 32.0 KB x 4 |
L2 Cache | 256 KB x 4 |
L3 Cache | 8.00 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 2060 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3916
732.8 IPS |
|
Image Classification (F16)
|
100% |
3905
730.7 IPS |
|
Image Classification (I8)
|
100% |
3121
583.9 IPS |
|
Image Segmentation (F32)
|
100% |
4506
75.2 IPS |
|
Image Segmentation (F16)
|
100% |
4539
75.8 IPS |
|
Image Segmentation (I8)
|
98% |
4255
71.1 IPS |
|
Pose Estimation (F32)
|
100% |
38994
47.2 IPS |
|
Pose Estimation (F16)
|
100% |
38853
47.0 IPS |
|
Pose Estimation (I8)
|
100% |
36220
43.9 IPS |
|
Object Detection (F32)
|
100% |
2543
189.8 IPS |
|
Object Detection (F16)
|
100% |
2525
188.5 IPS |
|
Object Detection (I8)
|
67% |
2120
158.3 IPS |
|
Face Detection (F32)
|
100% |
10502
124.9 IPS |
|
Face Detection (F16)
|
100% |
10516
125.0 IPS |
|
Face Detection (I8)
|
89% |
8430
100.2 IPS |
|
Depth Estimation (F32)
|
100% |
19963
154.8 IPS |
|
Depth Estimation (F16)
|
100% |
22131
171.6 IPS |
|
Depth Estimation (I8)
|
95% |
19255
149.3 IPS |
|
Style Transfer (F32)
|
100% |
68460
90.1 IPS |
|
Style Transfer (F16)
|
100% |
68571
90.2 IPS |
|
Style Transfer (I8)
|
98% |
59040
77.7 IPS |
|
Image Super-Resolution (F32)
|
100% |
12568
448.8 IPS |
|
Image Super-Resolution (F16)
|
100% |
12417
443.5 IPS |
|
Image Super-Resolution (I8)
|
99% |
7953
284.0 IPS |
|
Text Classification (F32)
|
100% |
1102
1.58 KIPS |
|
Text Classification (F16)
|
100% |
1385
1.99 KIPS |
|
Text Classification (I8)
|
98% |
888
1.28 KIPS |
|
Machine Translation (F32)
|
100% |
1937
35.7 IPS |
|
Machine Translation (F16)
|
100% |
1943
35.8 IPS |
|
Machine Translation (I8)
|
70% |
1131
20.8 IPS |