MacBook Pro (13-inch, 2022)
Geekbench ML Score
3738
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 06 2024 06:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5331b) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1168
218.6 IPS |
|
|
Image Classification (F16)
|
100% |
2422
453.1 IPS |
|
|
Image Classification (I8)
|
99% |
2364
442.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
721
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1066
17.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1068
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6035
7.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
13546
16.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
13786
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1331
99.3 IPS |
|
|
Object Detection (F16)
|
100% |
2256
168.4 IPS |
|
|
Object Detection (I8)
|
97% |
1327
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
3047
36.2 IPS |
|
|
Face Detection (F16)
|
97% |
5775
68.7 IPS |
|
|
Face Detection (I8)
|
97% |
5637
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5681
44.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
11594
89.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
11321
87.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17823
23.4 IPS |
|
|
Style Transfer (F16)
|
100% |
27685
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27854
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4035
144.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4855
173.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4974
177.7 IPS |
|
|
Text Classification (F32)
|
100% |
2003
2.88 KIPS |
|
|
Text Classification (F16)
|
100% |
3324
4.78 KIPS |
|
|
Text Classification (I8)
|
96% |
3385
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1347
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1551
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1321
24.3 IPS |
