MacBook Pro (13-inch, 2022)
Geekbench ML Score
3401
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 18 2025 06:44 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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 | 2.99 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% |
1137
212.8 IPS |
|
|
Image Classification (F16)
|
100% |
2099
392.7 IPS |
|
|
Image Classification (I8)
|
99% |
2150
402.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
677
11.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
873
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
5158
6.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
12363
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
12327
14.9 IPS |
|
|
Object Detection (F32)
|
100% |
1295
96.7 IPS |
|
|
Object Detection (F16)
|
100% |
2196
164.0 IPS |
|
|
Object Detection (I8)
|
97% |
1293
96.5 IPS |
|
|
Face Detection (F32)
|
100% |
2720
32.3 IPS |
|
|
Face Detection (F16)
|
97% |
4962
59.0 IPS |
|
|
Face Detection (I8)
|
97% |
5241
62.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4923
38.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
10297
79.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9079
70.4 IPS |
|
|
Style Transfer (F32)
|
100% |
15911
20.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26320
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
22098
29.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3054
109.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4835
172.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4936
176.3 IPS |
|
|
Text Classification (F32)
|
100% |
1926
2.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3057
4.39 KIPS |
|
|
Text Classification (I8)
|
96% |
3361
4.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
1327
24.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1556
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1300
23.9 IPS |
