MacBook Pro (13-inch, 2022)
Geekbench ML Score
3422
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 15 2025 06:52 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.25 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% |
1101
206.0 IPS |
|
|
Image Classification (F16)
|
100% |
1982
370.8 IPS |
|
|
Image Classification (I8)
|
99% |
1785
334.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
662
11.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
920
15.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
913
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
4816
5.83 IPS |
|
|
Pose Estimation (F16)
|
100% |
12880
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
12287
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1134
84.6 IPS |
|
|
Object Detection (F16)
|
100% |
2220
165.7 IPS |
|
|
Object Detection (I8)
|
97% |
1359
101.4 IPS |
|
|
Face Detection (F32)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (F16)
|
97% |
4986
59.3 IPS |
|
|
Face Detection (I8)
|
97% |
5345
63.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5404
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
9813
76.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10558
81.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17647
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26423
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26721
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3951
141.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4241
151.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5191
185.4 IPS |
|
|
Text Classification (F32)
|
100% |
1968
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3056
4.39 KIPS |
|
|
Text Classification (I8)
|
96% |
3191
4.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
1263
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1593
29.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1198
22.1 IPS |
