MacBook Pro (13-inch, 2022)
Geekbench ML Score
3404
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 02 2025 06:04 PM |
| Views | 7 |
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 | 3.13 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% |
1188
222.3 IPS |
|
|
Image Classification (F16)
|
100% |
1982
370.9 IPS |
|
|
Image Classification (I8)
|
99% |
1935
362.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
597
9.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
821
13.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
911
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
5197
6.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
13710
16.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
9857
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
1080
80.6 IPS |
|
|
Object Detection (F16)
|
100% |
2060
153.8 IPS |
|
|
Object Detection (I8)
|
97% |
1080
80.6 IPS |
|
|
Face Detection (F32)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (F16)
|
97% |
4977
59.2 IPS |
|
|
Face Detection (I8)
|
96% |
5166
61.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4360
33.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
10584
82.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10285
79.8 IPS |
|
|
Style Transfer (F32)
|
100% |
16661
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27244
35.8 IPS |
|
|
Style Transfer (I8)
|
100% |
27730
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3885
138.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5249
187.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5115
182.7 IPS |
|
|
Text Classification (F32)
|
100% |
2081
2.99 KIPS |
|
|
Text Classification (F16)
|
100% |
3501
5.03 KIPS |
|
|
Text Classification (I8)
|
96% |
3587
5.15 KIPS |
|
|
Machine Translation (F32)
|
100% |
1313
24.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1643
30.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1323
24.4 IPS |
