MacBook Pro (13-inch, 2022)
Geekbench ML Score
3617
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 19 2025 06:45 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.47 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% |
1177
220.2 IPS |
|
|
Image Classification (F16)
|
100% |
2232
417.7 IPS |
|
|
Image Classification (I8)
|
99% |
2081
389.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
720
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
928
15.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
934
15.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
4799
5.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
14204
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14238
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1204
89.9 IPS |
|
|
Object Detection (F16)
|
100% |
2249
167.9 IPS |
|
|
Object Detection (I8)
|
97% |
1395
104.2 IPS |
|
|
Face Detection (F32)
|
100% |
2932
34.9 IPS |
|
|
Face Detection (F16)
|
97% |
5668
67.4 IPS |
|
|
Face Detection (I8)
|
97% |
4849
57.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5368
41.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10776
83.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
10779
83.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16677
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
28523
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28380
37.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4138
147.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5283
188.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5310
189.6 IPS |
|
|
Text Classification (F32)
|
100% |
1968
2.83 KIPS |
|
|
Text Classification (F16)
|
100% |
3571
5.13 KIPS |
|
|
Text Classification (I8)
|
96% |
3647
5.24 KIPS |
|
|
Machine Translation (F32)
|
100% |
1155
21.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1467
27.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1326
24.4 IPS |
