MacBook Pro (13-inch, 2022)
Geekbench ML Score
3635
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 01 2025 05:36 PM |
| Views | 6 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5316i) |
| 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 | 3.07 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% |
1062
198.8 IPS |
|
|
Image Classification (F16)
|
100% |
2264
423.6 IPS |
|
|
Image Classification (I8)
|
99% |
2344
438.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
749
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1019
17.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1025
17.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6231
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
12852
15.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14046
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1305
97.4 IPS |
|
|
Object Detection (F16)
|
100% |
2240
167.3 IPS |
|
|
Object Detection (I8)
|
97% |
1407
105.1 IPS |
|
|
Face Detection (F32)
|
100% |
2941
35.0 IPS |
|
|
Face Detection (F16)
|
97% |
5559
66.1 IPS |
|
|
Face Detection (I8)
|
96% |
5620
66.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5329
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
9312
72.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8121
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17230
22.7 IPS |
|
|
Style Transfer (F16)
|
100% |
28324
37.3 IPS |
|
|
Style Transfer (I8)
|
100% |
28250
37.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3979
142.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5074
181.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5289
188.9 IPS |
|
|
Text Classification (F32)
|
100% |
2152
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3269
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3541
5.09 KIPS |
|
|
Machine Translation (F32)
|
100% |
1266
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1417
26.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1315
24.2 IPS |
