MacBook Pro (13-inch, 2022)
Geekbench ML Score
3740
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 12 2025 05:55 PM |
| Views | 12 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A353) |
| 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 | 3.47 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% |
1253
234.5 IPS |
|
|
Image Classification (F16)
|
100% |
2413
451.5 IPS |
|
|
Image Classification (I8)
|
99% |
2388
446.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
759
12.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1061
17.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1134
18.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
5900
7.14 IPS |
|
|
Pose Estimation (F16)
|
100% |
14314
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14304
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1305
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
2315
172.8 IPS |
|
|
Object Detection (I8)
|
97% |
1357
101.3 IPS |
|
|
Face Detection (F32)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (F16)
|
97% |
5671
67.4 IPS |
|
|
Face Detection (I8)
|
96% |
5527
65.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5315
41.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10509
81.5 IPS |
|
|
Depth Estimation (I8)
|
99% |
9938
77.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16066
21.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27637
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27743
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3818
136.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5010
178.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5213
186.2 IPS |
|
|
Text Classification (F32)
|
100% |
2168
3.12 KIPS |
|
|
Text Classification (F16)
|
100% |
3598
5.17 KIPS |
|
|
Text Classification (I8)
|
96% |
3503
5.03 KIPS |
|
|
Machine Translation (F32)
|
100% |
1336
24.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1600
29.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1304
24.0 IPS |
