Upload Date | May 25 2025 07:16 PM |
Views | 5 |
System Information | |
---|---|
Operating System | macOS 15.5 (Build 24F74) |
Model | MacBook Pro (13-inch, 2022) |
Model ID | Mac14,7 |
Motherboard | Mac14,7 |
CPU Information | |
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Name | Apple M2 |
Topology | 1 Processor, 8 Cores |
Identifier | Apple M2 |
Base Frequency | 3.30 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
L1 Instruction Cache | 128 KB x 1 |
L1 Data Cache | 64.0 KB x 1 |
L2 Cache | 4.00 MB x 1 |
Memory Information | |
---|---|
Size | 8.00 GB |
Inference Information | |
---|---|
Framework | Core ML |
Backend | GPU |
Device | Default |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (F32)
|
100% |
3319
621.1 IPS |
|
Image Classification (F16)
|
100% |
3441
643.9 IPS |
|
Image Classification (I8)
|
99% |
3386
633.6 IPS |
|
Image Segmentation (F32)
|
100% |
1257
21.0 IPS |
|
Image Segmentation (F16)
|
100% |
1536
25.6 IPS |
|
Image Segmentation (I8)
|
100% |
1299
21.7 IPS |
|
Pose Estimation (F32)
|
100% |
23351
28.3 IPS |
|
Pose Estimation (F16)
|
100% |
25523
30.9 IPS |
|
Pose Estimation (I8)
|
100% |
25751
31.2 IPS |
|
Object Detection (F32)
|
100% |
2862
213.7 IPS |
|
Object Detection (F16)
|
100% |
2943
219.7 IPS |
|
Object Detection (I8)
|
97% |
2860
213.5 IPS |
|
Face Detection (F32)
|
100% |
8656
102.9 IPS |
|
Face Detection (F16)
|
98% |
9825
116.8 IPS |
|
Face Detection (I8)
|
97% |
10502
124.9 IPS |
|
Depth Estimation (F32)
|
100% |
16030
124.3 IPS |
|
Depth Estimation (F16)
|
100% |
17362
134.6 IPS |
|
Depth Estimation (I8)
|
99% |
17494
135.7 IPS |
|
Style Transfer (F32)
|
100% |
41026
54.0 IPS |
|
Style Transfer (F16)
|
100% |
47691
62.7 IPS |
|
Style Transfer (I8)
|
100% |
48067
63.2 IPS |
|
Image Super-Resolution (F32)
|
100% |
7194
256.9 IPS |
|
Image Super-Resolution (F16)
|
100% |
8051
287.5 IPS |
|
Image Super-Resolution (I8)
|
100% |
7230
258.2 IPS |
|
Text Classification (F32)
|
100% |
2137
3.07 KIPS |
|
Text Classification (F16)
|
100% |
3613
5.19 KIPS |
|
Text Classification (I8)
|
96% |
3489
5.01 KIPS |
|
Machine Translation (F32)
|
100% |
902
16.6 IPS |
|
Machine Translation (F16)
|
100% |
873
16.1 IPS |
|
Machine Translation (I8)
|
99% |
873
16.1 IPS |