MacBook Pro (13-inch, 2022)
Geekbench ML Score
3576
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 31 2026 10:29 PM |
| Views | 10 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5112c) |
| 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 | 3.29 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% |
1032
193.1 IPS |
|
|
Image Classification (F16)
|
100% |
1930
361.2 IPS |
|
|
Image Classification (I8)
|
99% |
1924
360.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
751
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1091
18.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
1111
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5211
6.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
11369
13.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
11971
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1073
80.1 IPS |
|
|
Object Detection (F16)
|
100% |
2004
149.6 IPS |
|
|
Object Detection (I8)
|
97% |
1345
100.4 IPS |
|
|
Face Detection (F32)
|
100% |
3009
35.8 IPS |
|
|
Face Detection (F16)
|
97% |
5773
68.6 IPS |
|
|
Face Detection (I8)
|
96% |
5773
68.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5400
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10537
81.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
9890
76.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17646
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27532
36.2 IPS |
|
|
Style Transfer (I8)
|
100% |
27488
36.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3830
136.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5009
178.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5209
186.0 IPS |
|
|
Text Classification (F32)
|
100% |
2109
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3495
5.02 KIPS |
|
|
Text Classification (I8)
|
96% |
3458
4.97 KIPS |
|
|
Machine Translation (F32)
|
100% |
1345
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1614
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
