MacBook Pro (13-inch, 2022)
Geekbench ML Score
3754
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 06 2026 07:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D122) |
| 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 | 3.30 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% |
1175
219.8 IPS |
|
|
Image Classification (F16)
|
100% |
2443
457.1 IPS |
|
|
Image Classification (I8)
|
99% |
2428
454.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
843
14.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1127
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
973
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6054
7.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
14558
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14579
17.7 IPS |
|
|
Object Detection (F32)
|
100% |
1341
100.1 IPS |
|
|
Object Detection (F16)
|
100% |
2060
153.8 IPS |
|
|
Object Detection (I8)
|
97% |
1328
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
3028
36.0 IPS |
|
|
Face Detection (F16)
|
97% |
5780
68.7 IPS |
|
|
Face Detection (I8)
|
96% |
5417
64.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5098
39.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10934
84.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
10940
84.8 IPS |
|
|
Style Transfer (F32)
|
100% |
17684
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27254
35.9 IPS |
|
|
Style Transfer (I8)
|
100% |
27576
36.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3861
137.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5174
184.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5125
183.0 IPS |
|
|
Text Classification (F32)
|
100% |
2124
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3494
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3509
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1346
24.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1579
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1305
24.0 IPS |
