MacBook Pro (13-inch, 2022)
Geekbench ML Score
2982
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 16 2025 06:30 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.20 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% |
1180
220.9 IPS |
|
|
Image Classification (F16)
|
100% |
1983
371.1 IPS |
|
|
Image Classification (I8)
|
99% |
2125
397.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
689
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
819
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
834
13.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4025
4.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
11141
13.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
11177
13.5 IPS |
|
|
Object Detection (F32)
|
100% |
918
68.6 IPS |
|
|
Object Detection (F16)
|
100% |
1877
140.1 IPS |
|
|
Object Detection (I8)
|
97% |
1041
77.7 IPS |
|
|
Face Detection (F32)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (F16)
|
97% |
4197
49.9 IPS |
|
|
Face Detection (I8)
|
96% |
4847
57.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4747
36.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
4529
35.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
7946
61.6 IPS |
|
|
Style Transfer (F32)
|
100% |
15372
20.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25786
33.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27256
35.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2336
83.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5209
186.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5189
185.3 IPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
2270
3.26 KIPS |
|
|
Text Classification (I8)
|
96% |
2386
3.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
992
18.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1425
26.2 IPS |
|
|
Machine Translation (I8)
|
99% |
943
17.3 IPS |
