MacBook Pro (13-inch, 2022)
Geekbench ML Score
3463
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 16 2025 06:16 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 3.32 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% |
1153
215.8 IPS |
|
|
Image Classification (F16)
|
100% |
2321
434.3 IPS |
|
|
Image Classification (I8)
|
99% |
2364
442.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
851
14.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1123
18.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1021
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5583
6.76 IPS |
|
|
Pose Estimation (F16)
|
100% |
14360
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
12083
14.6 IPS |
|
|
Object Detection (F32)
|
100% |
1216
90.8 IPS |
|
|
Object Detection (F16)
|
100% |
2057
153.5 IPS |
|
|
Object Detection (I8)
|
97% |
1231
91.9 IPS |
|
|
Face Detection (F32)
|
100% |
2261
26.9 IPS |
|
|
Face Detection (F16)
|
97% |
4208
50.0 IPS |
|
|
Face Detection (I8)
|
97% |
4739
56.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4187
32.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
9229
71.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
8786
68.1 IPS |
|
|
Style Transfer (F32)
|
100% |
13858
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26926
35.4 IPS |
|
|
Style Transfer (I8)
|
100% |
28390
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4032
144.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5201
185.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4948
176.7 IPS |
|
|
Text Classification (F32)
|
100% |
2074
2.98 KIPS |
|
|
Text Classification (F16)
|
100% |
3406
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3537
5.08 KIPS |
|
|
Machine Translation (F32)
|
100% |
1121
20.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1575
29.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1120
20.6 IPS |
