MacBook Pro (13-inch, 2022)
Geekbench ML Score
3624
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 28 2026 05:58 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| 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 | 3.28 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% |
947
177.3 IPS |
|
|
Image Classification (F16)
|
100% |
1436
268.6 IPS |
|
|
Image Classification (I8)
|
99% |
1920
359.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
701
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
966
16.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
969
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5358
6.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
11302
13.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13541
16.4 IPS |
|
|
Object Detection (F32)
|
100% |
1311
97.8 IPS |
|
|
Object Detection (F16)
|
100% |
2363
176.4 IPS |
|
|
Object Detection (I8)
|
97% |
1329
99.2 IPS |
|
|
Face Detection (F32)
|
100% |
2778
33.0 IPS |
|
|
Face Detection (F16)
|
97% |
4767
56.7 IPS |
|
|
Face Detection (I8)
|
96% |
4380
52.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5075
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10765
83.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
10714
83.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16990
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
25377
33.4 IPS |
|
|
Style Transfer (I8)
|
100% |
26115
34.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3743
133.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4738
169.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4747
169.5 IPS |
|
|
Text Classification (F32)
|
100% |
3735
5.37 KIPS |
|
|
Text Classification (F16)
|
100% |
5681
8.16 KIPS |
|
|
Text Classification (I8)
|
96% |
5964
8.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1262
23.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1263
23.2 IPS |
