MacBook Pro (13-inch, 2022)
Geekbench ML Score
3021
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 05 2026 07:13 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% |
1074
200.9 IPS |
|
|
Image Classification (F16)
|
100% |
2009
376.0 IPS |
|
|
Image Classification (I8)
|
99% |
2036
380.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
548
9.14 IPS |
|
|
Image Segmentation (F16)
|
100% |
937
15.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1008
16.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
5482
6.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
12283
14.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
11706
14.2 IPS |
|
|
Object Detection (F32)
|
100% |
1079
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
2138
159.7 IPS |
|
|
Object Detection (I8)
|
97% |
1143
85.3 IPS |
|
|
Face Detection (F32)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (F16)
|
97% |
5106
60.7 IPS |
|
|
Face Detection (I8)
|
96% |
4973
59.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
4651
36.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
9283
72.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
9680
75.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13661
18.0 IPS |
|
|
Style Transfer (F16)
|
100% |
22357
29.4 IPS |
|
|
Style Transfer (I8)
|
100% |
21521
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1935
69.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3125
111.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2834
101.2 IPS |
|
|
Text Classification (F32)
|
100% |
1791
2.57 KIPS |
|
|
Text Classification (F16)
|
100% |
2917
4.19 KIPS |
|
|
Text Classification (I8)
|
96% |
2892
4.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1083
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1097
20.2 IPS |
|
|
Machine Translation (I8)
|
99% |
951
17.5 IPS |
