MacBook Pro (13-inch, 2022)
Geekbench ML Score
3200
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 08:12 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.18 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% |
1080
202.1 IPS |
|
|
Image Classification (F16)
|
100% |
2113
395.4 IPS |
|
|
Image Classification (I8)
|
99% |
1984
371.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
651
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
954
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4160
5.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
12826
15.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
8939
10.8 IPS |
|
|
Object Detection (F32)
|
100% |
1103
82.4 IPS |
|
|
Object Detection (F16)
|
100% |
2006
149.8 IPS |
|
|
Object Detection (I8)
|
97% |
1068
79.8 IPS |
|
|
Face Detection (F32)
|
100% |
2731
32.5 IPS |
|
|
Face Detection (F16)
|
97% |
4803
57.1 IPS |
|
|
Face Detection (I8)
|
96% |
4952
58.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5020
38.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10156
78.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
9491
73.6 IPS |
|
|
Style Transfer (F32)
|
100% |
14006
18.4 IPS |
|
|
Style Transfer (F16)
|
100% |
26665
35.1 IPS |
|
|
Style Transfer (I8)
|
100% |
27569
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3807
135.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3993
142.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4266
152.4 IPS |
|
|
Text Classification (F32)
|
100% |
1614
2.32 KIPS |
|
|
Text Classification (F16)
|
100% |
3023
4.34 KIPS |
|
|
Text Classification (I8)
|
96% |
3352
4.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
1047
19.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1316
24.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1088
20.0 IPS |
