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 03 2025 06:23 PM |
| Views | 2 |
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 | 3.45 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% |
1279
239.4 IPS |
|
|
Image Classification (F16)
|
100% |
2407
450.5 IPS |
|
|
Image Classification (I8)
|
99% |
2200
411.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
783
13.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1008
16.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1106
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
6479
7.85 IPS |
|
|
Pose Estimation (F16)
|
100% |
14250
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14246
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1352
100.9 IPS |
|
|
Object Detection (F16)
|
100% |
2302
171.9 IPS |
|
|
Object Detection (I8)
|
97% |
1353
101.0 IPS |
|
|
Face Detection (F32)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (F16)
|
97% |
5656
67.2 IPS |
|
|
Face Detection (I8)
|
97% |
5672
67.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5481
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
11047
85.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
10900
84.5 IPS |
|
|
Style Transfer (F32)
|
100% |
17497
23.0 IPS |
|
|
Style Transfer (F16)
|
100% |
28412
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27188
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4139
147.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4887
174.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4961
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
2096
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3581
5.15 KIPS |
|
|
Text Classification (I8)
|
96% |
3588
5.16 KIPS |
|
|
Machine Translation (F32)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1613
29.7 IPS |
|
|
Machine Translation (I8)
|
99% |
1348
24.8 IPS |
