MacBook Pro (13-inch, 2022)
Geekbench ML Score
2965
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 07:26 PM |
| Views | 12 |
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 | 3.17 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% |
838
156.8 IPS |
|
|
Image Classification (F16)
|
100% |
1361
254.7 IPS |
|
|
Image Classification (I8)
|
99% |
1755
328.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
640
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
846
14.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
974
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5991
7.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
14261
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
12603
15.3 IPS |
|
|
Object Detection (F32)
|
100% |
982
73.3 IPS |
|
|
Object Detection (F16)
|
100% |
2029
151.5 IPS |
|
|
Object Detection (I8)
|
97% |
903
67.4 IPS |
|
|
Face Detection (F32)
|
100% |
2278
27.1 IPS |
|
|
Face Detection (F16)
|
97% |
4718
56.1 IPS |
|
|
Face Detection (I8)
|
96% |
5430
64.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
4834
37.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5385
41.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10615
82.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15944
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
19598
25.8 IPS |
|
|
Style Transfer (I8)
|
100% |
21171
27.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2830
101.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3474
124.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3740
133.6 IPS |
|
|
Text Classification (F32)
|
100% |
1920
2.76 KIPS |
|
|
Text Classification (F16)
|
100% |
2080
2.99 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1071
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (I8)
|
99% |
998
18.4 IPS |
