MacBook Pro (13-inch, 2022)
Geekbench ML Score
3658
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 04:58 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5072a) |
| 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 | 3.30 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% |
1214
227.1 IPS |
|
|
Image Classification (F16)
|
100% |
2427
454.2 IPS |
|
|
Image Classification (I8)
|
99% |
2193
410.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
740
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
918
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
936
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6016
7.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
14421
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14522
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1228
91.7 IPS |
|
|
Object Detection (F16)
|
100% |
2304
172.0 IPS |
|
|
Object Detection (I8)
|
97% |
1297
96.9 IPS |
|
|
Face Detection (F32)
|
100% |
2815
33.5 IPS |
|
|
Face Detection (F16)
|
97% |
5619
66.8 IPS |
|
|
Face Detection (I8)
|
96% |
5673
67.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
4920
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10687
82.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
10770
83.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17535
23.1 IPS |
|
|
Style Transfer (F16)
|
100% |
25989
34.2 IPS |
|
|
Style Transfer (I8)
|
100% |
25885
34.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3904
139.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5132
183.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5179
185.0 IPS |
|
|
Text Classification (F32)
|
100% |
2047
2.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3450
4.96 KIPS |
|
|
Text Classification (I8)
|
96% |
3383
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1312
24.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1630
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1309
24.1 IPS |
