MacBook Pro (13-inch, 2022)
Geekbench ML Score
3178
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 08 2026 05:53 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
1050
196.4 IPS |
|
|
Image Classification (F16)
|
100% |
1698
317.7 IPS |
|
|
Image Classification (I8)
|
99% |
1860
348.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
527
8.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
874
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
941
15.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5164
6.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
12332
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14243
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1073
80.1 IPS |
|
|
Object Detection (F16)
|
100% |
2020
150.8 IPS |
|
|
Object Detection (I8)
|
97% |
1085
81.0 IPS |
|
|
Face Detection (F32)
|
100% |
2856
34.0 IPS |
|
|
Face Detection (F16)
|
97% |
4973
59.1 IPS |
|
|
Face Detection (I8)
|
96% |
5060
60.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5096
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9648
74.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10461
81.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13752
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26477
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24671
32.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3528
126.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4318
154.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3186
113.8 IPS |
|
|
Text Classification (F32)
|
100% |
2087
3.00 KIPS |
|
|
Text Classification (F16)
|
100% |
3488
5.01 KIPS |
|
|
Text Classification (I8)
|
96% |
3473
4.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
873
16.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1132
20.8 IPS |
|
|
Machine Translation (I8)
|
99% |
948
17.4 IPS |
