MacBook Pro (13-inch, 2022)
Geekbench ML Score
3011
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | December 10 2025 06:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1216
227.5 IPS |
|
|
Image Classification (F16)
|
100% |
2075
388.3 IPS |
|
|
Image Classification (I8)
|
99% |
2040
381.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
575
9.61 IPS |
|
|
Image Segmentation (F16)
|
100% |
841
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
904
15.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
4989
6.04 IPS |
|
|
Pose Estimation (F16)
|
100% |
10321
12.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
5976
7.24 IPS |
|
|
Object Detection (F32)
|
100% |
961
71.7 IPS |
|
|
Object Detection (F16)
|
100% |
2092
156.2 IPS |
|
|
Object Detection (I8)
|
97% |
766
57.2 IPS |
|
|
Face Detection (F32)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (F16)
|
97% |
4461
53.0 IPS |
|
|
Face Detection (I8)
|
96% |
3099
36.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
4210
32.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9261
71.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8433
65.4 IPS |
|
|
Style Transfer (F32)
|
100% |
13204
17.4 IPS |
|
|
Style Transfer (F16)
|
100% |
25118
33.0 IPS |
|
|
Style Transfer (I8)
|
100% |
27254
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3070
109.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4195
149.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4763
170.1 IPS |
|
|
Text Classification (F32)
|
100% |
1983
2.85 KIPS |
|
|
Text Classification (F16)
|
100% |
3453
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3568
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
1154
21.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1475
27.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1177
21.7 IPS |
