User | KipR |
Upload Date | August 16 2024 09:58 PM |
Views | 2 |
System Information | |
---|---|
Operating System | macOS 13.6.9 (Build 22G830) |
Model | iMac (27-inch Retina Mid 2017) |
Model ID | iMac18,3 |
Motherboard | Apple Inc. Mac-BE088AF8C5EB4FA2 iMac18,3 |
CPU Information | |
---|---|
Name | Intel Core i5-7600 |
Topology | 1 Processor, 4 Cores |
Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
Base Frequency | 3.50 GHz |
Cluster 1 | 4 Cores |
L1 Instruction Cache | 32.0 KB x 2 |
L1 Data Cache | 32.0 KB x 2 |
L2 Cache | 256 KB x 2 |
L3 Cache | 6.00 MB x 1 |
Memory Information | |
---|---|
Size | 16.00 GB |
Transfer Rate | 2400 MT/s |
Type | DDR4 |
Inference Information | |
---|---|
Framework | Core ML |
Backend | Neural Engine |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
2031
380.1 IPS |
|
Image Classification (F16)
|
100% |
2115
395.7 IPS |
|
Image Classification (I8)
|
99% |
2094
391.8 IPS |
|
Image Segmentation (F32)
|
100% |
387
6.47 IPS |
|
Image Segmentation (F16)
|
100% |
381
6.36 IPS |
|
Image Segmentation (I8)
|
100% |
379
6.34 IPS |
|
Pose Estimation (F32)
|
100% |
13384
16.2 IPS |
|
Pose Estimation (F16)
|
100% |
13665
16.5 IPS |
|
Pose Estimation (I8)
|
100% |
13825
16.7 IPS |
|
Object Detection (F32)
|
100% |
1652
123.3 IPS |
|
Object Detection (F16)
|
100% |
1515
113.1 IPS |
|
Object Detection (I8)
|
97% |
1545
115.3 IPS |
|
Face Detection (F32)
|
100% |
6890
81.9 IPS |
|
Face Detection (F16)
|
97% |
6984
83.0 IPS |
|
Face Detection (I8)
|
96% |
6891
81.9 IPS |
|
Depth Estimation (F32)
|
100% |
8417
65.3 IPS |
|
Depth Estimation (F16)
|
100% |
8924
69.2 IPS |
|
Depth Estimation (I8)
|
99% |
8844
68.6 IPS |
|
Style Transfer (F32)
|
100% |
26778
35.2 IPS |
|
Style Transfer (F16)
|
100% |
26942
35.4 IPS |
|
Style Transfer (I8)
|
100% |
26842
35.3 IPS |
|
Image Super-Resolution (F32)
|
100% |
3671
131.1 IPS |
|
Image Super-Resolution (F16)
|
100% |
3391
121.1 IPS |
|
Image Super-Resolution (I8)
|
100% |
3392
121.1 IPS |
|
Text Classification (F32)
|
100% |
288
414.2 IPS |
|
Text Classification (F16)
|
100% |
334
479.9 IPS |
|
Text Classification (I8)
|
96% |
332
476.9 IPS |
|
Machine Translation (F32)
|
100% |
267
4.91 IPS |
|
Machine Translation (F16)
|
100% |
239
4.39 IPS |
|
Machine Translation (I8)
|
99% |
267
4.91 IPS |