MacBook Pro (13-inch, 2022)
Geekbench ML Score
3806
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 27 2025 05:58 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.45 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% |
1278
239.2 IPS |
|
|
Image Classification (F16)
|
100% |
2370
443.5 IPS |
|
|
Image Classification (I8)
|
99% |
2310
432.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
741
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1007
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1108
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6508
7.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
14258
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14250
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1353
101.0 IPS |
|
|
Object Detection (F16)
|
100% |
2313
172.7 IPS |
|
|
Object Detection (I8)
|
97% |
1347
100.6 IPS |
|
|
Face Detection (F32)
|
100% |
2974
35.4 IPS |
|
|
Face Detection (F16)
|
97% |
5704
67.8 IPS |
|
|
Face Detection (I8)
|
97% |
5651
67.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5501
42.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
10967
85.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10600
82.2 IPS |
|
|
Style Transfer (F32)
|
100% |
17918
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28443
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28431
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4024
143.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4968
177.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5245
187.3 IPS |
|
|
Text Classification (F32)
|
100% |
2187
3.14 KIPS |
|
|
Text Classification (F16)
|
100% |
3598
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3598
5.17 KIPS |
|
|
Machine Translation (F32)
|
100% |
1380
25.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1619
29.8 IPS |
|
|
Machine Translation (I8)
|
99% |
1374
25.3 IPS |
