Upload Date | April 17 2025 12:53 AM |
Views | 1 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. B660 DS3H AC DDR4-Y1 |
Motherboard | Gigabyte Technology Co., Ltd. B660 DS3H AC DDR4-Y1 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel Core i7-12700F |
Topology | 1 Processor, 12 Cores, 20 Threads |
Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
Base Frequency | 2.10 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 10 |
L1 Data Cache | 48.0 KB x 10 |
L2 Cache | 1.25 MB x 2 |
L3 Cache | 25.0 MB x 1 |
Memory Information | |
---|---|
Size | 64.00 GB |
Inference Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
1888
353.2 IPS |
|
Image Classification (F16)
|
100% |
1865
349.1 IPS |
|
Image Classification (I8)
|
99% |
3788
708.8 IPS |
|
Image Segmentation (F32)
|
100% |
1635
27.3 IPS |
|
Image Segmentation (F16)
|
100% |
1593
26.6 IPS |
|
Image Segmentation (I8)
|
98% |
2805
46.8 IPS |
|
Pose Estimation (F32)
|
100% |
7158
8.67 IPS |
|
Pose Estimation (F16)
|
100% |
7182
8.70 IPS |
|
Pose Estimation (I8)
|
100% |
21718
26.3 IPS |
|
Object Detection (F32)
|
100% |
1617
120.7 IPS |
|
Object Detection (F16)
|
100% |
1619
120.9 IPS |
|
Object Detection (I8)
|
62% |
1788
133.5 IPS |
|
Face Detection (F32)
|
100% |
2166
25.8 IPS |
|
Face Detection (F16)
|
100% |
2136
25.4 IPS |
|
Face Detection (I8)
|
89% |
3116
37.0 IPS |
|
Depth Estimation (F32)
|
100% |
6623
51.4 IPS |
|
Depth Estimation (F16)
|
100% |
6592
51.1 IPS |
|
Depth Estimation (I8)
|
96% |
12640
98.0 IPS |
|
Style Transfer (F32)
|
100% |
15246
20.1 IPS |
|
Style Transfer (F16)
|
100% |
15240
20.0 IPS |
|
Style Transfer (I8)
|
98% |
13595
17.9 IPS |
|
Image Super-Resolution (F32)
|
100% |
3557
127.0 IPS |
|
Image Super-Resolution (F16)
|
100% |
3464
123.7 IPS |
|
Image Super-Resolution (I8)
|
99% |
5077
181.3 IPS |
|
Text Classification (F32)
|
100% |
1552
2.23 KIPS |
|
Text Classification (F16)
|
100% |
1515
2.18 KIPS |
|
Text Classification (I8)
|
98% |
1165
1.67 KIPS |
|
Machine Translation (F32)
|
100% |
1595
29.4 IPS |
|
Machine Translation (F16)
|
100% |
1605
29.5 IPS |
|
Machine Translation (I8)
|
67% |
2765
50.9 IPS |