MacBook Pro (13-inch, 2022)
Geekbench ML Score
3819
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | February 21 2025 08:20 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5206s) |
| 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 | 3.48 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% |
1333
249.5 IPS |
|
|
Image Classification (F16)
|
100% |
2400
449.2 IPS |
|
|
Image Classification (I8)
|
99% |
2391
447.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
817
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1061
17.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
6478
7.84 IPS |
|
|
Pose Estimation (F16)
|
100% |
14523
17.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
14508
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1369
102.2 IPS |
|
|
Object Detection (F16)
|
100% |
2362
176.3 IPS |
|
|
Object Detection (I8)
|
97% |
1370
102.3 IPS |
|
|
Face Detection (F32)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (F16)
|
97% |
5565
66.2 IPS |
|
|
Face Detection (I8)
|
97% |
5454
64.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
5291
41.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10590
82.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
10778
83.6 IPS |
|
|
Style Transfer (F32)
|
100% |
17948
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
28494
37.5 IPS |
|
|
Style Transfer (I8)
|
100% |
28540
37.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4130
147.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5257
187.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5099
182.1 IPS |
|
|
Text Classification (F32)
|
100% |
2063
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3468
4.98 KIPS |
|
|
Text Classification (I8)
|
96% |
3410
4.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
1375
25.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1655
30.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1377
25.3 IPS |
