MacBook Pro (13-inch, 2022)
Geekbench ML Score
3679
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 02 2025 06:03 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.38 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% |
1279
239.3 IPS |
|
|
Image Classification (F16)
|
100% |
2328
435.6 IPS |
|
|
Image Classification (I8)
|
99% |
2249
420.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
700
11.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
976
16.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1096
18.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6575
7.96 IPS |
|
|
Pose Estimation (F16)
|
100% |
13493
16.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14411
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1390
103.8 IPS |
|
|
Object Detection (F16)
|
100% |
2189
163.4 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
3050
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5875
69.9 IPS |
|
|
Face Detection (I8)
|
96% |
5602
66.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5047
39.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
7806
60.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9195
71.3 IPS |
|
|
Style Transfer (F32)
|
100% |
17242
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
27835
36.6 IPS |
|
|
Style Transfer (I8)
|
100% |
28382
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4089
146.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4590
163.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4982
177.9 IPS |
|
|
Text Classification (F32)
|
100% |
2178
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3352
4.82 KIPS |
|
|
Text Classification (I8)
|
96% |
3433
4.93 KIPS |
|
|
Machine Translation (F32)
|
100% |
1340
24.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1357
25.0 IPS |
