MacBook Pro (13-inch, 2022)
Geekbench ML Score
3608
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 06:59 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5346a) |
| 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 | 3.08 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% |
1211
226.6 IPS |
|
|
Image Classification (F16)
|
100% |
1744
326.4 IPS |
|
|
Image Classification (I8)
|
99% |
2108
394.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
591
9.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
861
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
950
15.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6071
7.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
14303
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14308
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1344
100.3 IPS |
|
|
Object Detection (F16)
|
100% |
2286
170.7 IPS |
|
|
Object Detection (I8)
|
97% |
1392
103.9 IPS |
|
|
Face Detection (F32)
|
100% |
2810
33.4 IPS |
|
|
Face Detection (F16)
|
97% |
5678
67.5 IPS |
|
|
Face Detection (I8)
|
96% |
5617
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5350
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10997
85.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
9589
74.4 IPS |
|
|
Style Transfer (F32)
|
100% |
16005
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
26474
34.8 IPS |
|
|
Style Transfer (I8)
|
100% |
28393
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4160
148.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5235
187.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5052
180.4 IPS |
|
|
Text Classification (F32)
|
100% |
2079
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3435
4.94 KIPS |
|
|
Text Classification (I8)
|
96% |
3506
5.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
1291
23.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1693
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1252
23.0 IPS |
