MacBook Pro (13-inch, 2022)
Geekbench ML Score
3427
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 13 2025 06:30 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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 | 3.26 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% |
615
115.1 IPS |
|
|
Image Classification (F16)
|
100% |
2349
439.5 IPS |
|
|
Image Classification (I8)
|
99% |
2381
445.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
878
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1051
17.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6476
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
13651
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
10186
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1361
101.6 IPS |
|
|
Object Detection (F16)
|
100% |
2295
171.3 IPS |
|
|
Object Detection (I8)
|
97% |
1372
102.4 IPS |
|
|
Face Detection (F32)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (F16)
|
97% |
3161
37.6 IPS |
|
|
Face Detection (I8)
|
96% |
5548
66.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5398
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
10746
83.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
10646
82.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17394
22.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28276
37.2 IPS |
|
|
Style Transfer (I8)
|
100% |
28417
37.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4134
147.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3511
125.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5328
190.3 IPS |
|
|
Text Classification (F32)
|
100% |
2126
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3409
4.90 KIPS |
|
|
Text Classification (I8)
|
96% |
3385
4.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1298
23.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1414
26.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1118
20.6 IPS |
