MacBook Pro (13-inch, 2022)
Geekbench ML Score
3830
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 21 2024 06:37 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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 | 3.44 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% |
1341
251.0 IPS |
|
|
Image Classification (F16)
|
100% |
2404
449.8 IPS |
|
|
Image Classification (I8)
|
99% |
2326
435.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
809
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1034
17.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1122
18.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6499
7.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
13919
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
13897
16.8 IPS |
|
|
Object Detection (F32)
|
100% |
1363
101.8 IPS |
|
|
Object Detection (F16)
|
100% |
2324
173.5 IPS |
|
|
Object Detection (I8)
|
97% |
1331
99.4 IPS |
|
|
Face Detection (F32)
|
100% |
3134
37.3 IPS |
|
|
Face Detection (F16)
|
97% |
5862
69.7 IPS |
|
|
Face Detection (I8)
|
97% |
5800
69.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5710
44.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11752
91.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11375
88.2 IPS |
|
|
Style Transfer (F32)
|
100% |
18075
23.8 IPS |
|
|
Style Transfer (F16)
|
100% |
28138
37.0 IPS |
|
|
Style Transfer (I8)
|
100% |
28213
37.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4162
148.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4948
176.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4971
177.5 IPS |
|
|
Text Classification (F32)
|
100% |
2069
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3437
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3362
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1390
25.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1565
28.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1361
25.0 IPS |
