MacBook Pro (13-inch, 2022)
Geekbench ML Score
3777
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 26 2025 06:54 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 3.29 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% |
1198
224.2 IPS |
|
|
Image Classification (F16)
|
100% |
2291
428.8 IPS |
|
|
Image Classification (I8)
|
99% |
2340
437.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
751
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1119
18.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1009
16.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
6302
7.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
14329
17.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
14413
17.5 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.4 IPS |
|
|
Object Detection (F16)
|
100% |
2438
182.0 IPS |
|
|
Object Detection (I8)
|
97% |
1453
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
2923
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
5588
66.4 IPS |
|
|
Face Detection (I8)
|
96% |
5492
65.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
4806
37.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
10776
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10815
83.9 IPS |
|
|
Style Transfer (F32)
|
100% |
17739
23.3 IPS |
|
|
Style Transfer (F16)
|
100% |
27785
36.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28105
37.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4059
145.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5154
184.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5130
183.2 IPS |
|
|
Text Classification (F32)
|
100% |
2180
3.13 KIPS |
|
|
Text Classification (F16)
|
100% |
3302
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3288
4.73 KIPS |
|
|
Machine Translation (F32)
|
100% |
1396
25.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1677
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1374
25.3 IPS |
