User | Kos72 |
Upload Date | August 18 2024 02:57 PM |
Views | 3 |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | EVGA Corp. Z790 DARK KINGPIN |
Motherboard | EVGA Corp. Z790 DARK KINGPIN |
Power Plan | Prestazioni eccellenti |
CPU Information | |
---|---|
Name | Intel Core i9-13900KS |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
L1 Instruction Cache | 32.0 KB x 16 |
L1 Data Cache | 48.0 KB x 16 |
L2 Cache | 2.00 MB x 4 |
L3 Cache | 36.0 MB x 1 |
Memory Information | |
---|---|
Size | 32.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3462
647.8 IPS |
|
Image Classification (F16)
|
100% |
3461
647.6 IPS |
|
Image Classification (I8)
|
99% |
5287
989.4 IPS |
|
Image Segmentation (F32)
|
100% |
2791
46.6 IPS |
|
Image Segmentation (F16)
|
100% |
2791
46.6 IPS |
|
Image Segmentation (I8)
|
98% |
4324
72.2 IPS |
|
Pose Estimation (F32)
|
100% |
13876
16.8 IPS |
|
Pose Estimation (F16)
|
100% |
13866
16.8 IPS |
|
Pose Estimation (I8)
|
100% |
44399
53.8 IPS |
|
Object Detection (F32)
|
100% |
3376
252.0 IPS |
|
Object Detection (F16)
|
100% |
3364
251.1 IPS |
|
Object Detection (I8)
|
62% |
2820
210.5 IPS |
|
Face Detection (F32)
|
100% |
7687
91.4 IPS |
|
Face Detection (F16)
|
100% |
7677
91.3 IPS |
|
Face Detection (I8)
|
89% |
7612
90.5 IPS |
|
Depth Estimation (F32)
|
100% |
14250
110.5 IPS |
|
Depth Estimation (F16)
|
100% |
14263
110.6 IPS |
|
Depth Estimation (I8)
|
96% |
24438
189.5 IPS |
|
Style Transfer (F32)
|
100% |
33216
43.7 IPS |
|
Style Transfer (F16)
|
100% |
33123
43.6 IPS |
|
Style Transfer (I8)
|
98% |
42642
56.1 IPS |
|
Image Super-Resolution (F32)
|
100% |
6058
216.4 IPS |
|
Image Super-Resolution (F16)
|
100% |
6143
219.4 IPS |
|
Image Super-Resolution (I8)
|
99% |
7850
280.3 IPS |
|
Text Classification (F32)
|
100% |
2088
3.00 KIPS |
|
Text Classification (F16)
|
100% |
2108
3.03 KIPS |
|
Text Classification (I8)
|
98% |
681
978.1 IPS |
|
Machine Translation (F32)
|
100% |
3271
60.2 IPS |
|
Machine Translation (F16)
|
100% |
3253
59.9 IPS |
|
Machine Translation (I8)
|
67% |
4094
75.3 IPS |