MacBook Pro (13-inch, 2022)
Geekbench ML Score
3343
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 05 2026 06:00 PM |
| Views | 3 |
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 | 3.27 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% |
1012
189.4 IPS |
|
|
Image Classification (F16)
|
100% |
1877
351.3 IPS |
|
|
Image Classification (I8)
|
99% |
1746
326.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
601
10.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
791
13.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
952
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
4360
5.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
12862
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
13993
16.9 IPS |
|
|
Object Detection (F32)
|
100% |
1040
77.7 IPS |
|
|
Object Detection (F16)
|
100% |
1865
139.2 IPS |
|
|
Object Detection (I8)
|
97% |
1182
88.2 IPS |
|
|
Face Detection (F32)
|
100% |
2131
25.3 IPS |
|
|
Face Detection (F16)
|
97% |
5364
63.8 IPS |
|
|
Face Detection (I8)
|
96% |
5381
64.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5098
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10311
80.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10355
80.3 IPS |
|
|
Style Transfer (F32)
|
100% |
16973
22.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27247
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
26588
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3681
131.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5141
183.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5129
183.2 IPS |
|
|
Text Classification (F32)
|
100% |
2072
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3444
4.95 KIPS |
|
|
Text Classification (I8)
|
96% |
3347
4.81 KIPS |
|
|
Machine Translation (F32)
|
100% |
1223
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1641
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1033
19.0 IPS |
