MacBook Pro (13-inch, 2022)
Geekbench ML Score
3441
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 03 2026 07:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E5218f) |
| 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% |
1105
206.8 IPS |
|
|
Image Classification (F16)
|
100% |
2014
376.8 IPS |
|
|
Image Classification (I8)
|
99% |
1969
368.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
663
11.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
840
14.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
987
16.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5330
6.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
11759
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
11297
13.7 IPS |
|
|
Object Detection (F32)
|
100% |
1120
83.6 IPS |
|
|
Object Detection (F16)
|
100% |
2061
153.9 IPS |
|
|
Object Detection (I8)
|
97% |
1091
81.4 IPS |
|
|
Face Detection (F32)
|
100% |
2621
31.2 IPS |
|
|
Face Detection (F16)
|
97% |
5342
63.5 IPS |
|
|
Face Detection (I8)
|
96% |
4903
58.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4835
37.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10164
78.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8629
66.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13792
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
25692
33.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27572
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3760
134.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2376
84.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4740
169.3 IPS |
|
|
Text Classification (F32)
|
100% |
3739
5.37 KIPS |
|
|
Text Classification (F16)
|
100% |
5600
8.05 KIPS |
|
|
Text Classification (I8)
|
96% |
5379
7.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1235
22.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1530
28.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1153
21.2 IPS |
