MacBook Pro (13-inch, 2022)
Geekbench ML Score
3785
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 10 2025 06:38 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B77) |
| 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 | 3.28 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% |
1236
231.3 IPS |
|
|
Image Classification (F16)
|
100% |
2346
438.9 IPS |
|
|
Image Classification (I8)
|
99% |
2337
437.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
773
12.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1134
18.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1083
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
5447
6.60 IPS |
|
|
Pose Estimation (F16)
|
100% |
14149
17.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
14344
17.4 IPS |
|
|
Object Detection (F32)
|
100% |
1289
96.3 IPS |
|
|
Object Detection (F16)
|
100% |
2361
176.2 IPS |
|
|
Object Detection (I8)
|
97% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
3054
36.3 IPS |
|
|
Face Detection (F16)
|
97% |
5876
69.9 IPS |
|
|
Face Detection (I8)
|
96% |
5861
69.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5334
41.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
10749
83.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
11054
85.7 IPS |
|
|
Style Transfer (F32)
|
100% |
17674
23.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27685
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27228
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3832
136.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5121
182.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5271
188.2 IPS |
|
|
Text Classification (F32)
|
100% |
2160
3.10 KIPS |
|
|
Text Classification (F16)
|
100% |
3715
5.34 KIPS |
|
|
Text Classification (I8)
|
96% |
3478
5.00 KIPS |
|
|
Machine Translation (F32)
|
100% |
1317
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1660
30.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1344
24.7 IPS |
