MacBook Pro (13-inch, 2022)
Geekbench ML Score
3285
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 25 2025 08:04 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B5042k) |
| 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 | 3.47 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% |
818
153.1 IPS |
|
|
Image Classification (F16)
|
100% |
2134
399.3 IPS |
|
|
Image Classification (I8)
|
99% |
2073
387.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
480
8.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1016
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5953
7.21 IPS |
|
|
Pose Estimation (F16)
|
100% |
14444
17.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14300
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1207
90.1 IPS |
|
|
Object Detection (F16)
|
100% |
2015
150.4 IPS |
|
|
Object Detection (I8)
|
97% |
1057
78.9 IPS |
|
|
Face Detection (F32)
|
100% |
2398
28.5 IPS |
|
|
Face Detection (F16)
|
97% |
4799
57.1 IPS |
|
|
Face Detection (I8)
|
96% |
4515
53.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5323
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9482
73.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10686
82.9 IPS |
|
|
Style Transfer (F32)
|
100% |
16897
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27239
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26584
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3637
129.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5052
180.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4813
171.9 IPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3510
5.04 KIPS |
|
|
Text Classification (I8)
|
96% |
3513
5.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
889
16.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1215
22.4 IPS |
|
|
Machine Translation (I8)
|
99% |
871
16.0 IPS |
