MacBook Air (2022)
Geekbench ML Score
1812
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | ozcanar |
| Upload Date | January 20 2024 08:29 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2 (Build 23C64) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.41 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% |
1070
200.2 IPS |
|
|
Image Classification (F16)
|
100% |
1075
201.1 IPS |
|
|
Image Classification (I8)
|
99% |
910
170.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
431
7.20 IPS |
|
|
Image Segmentation (F16)
|
100% |
459
7.66 IPS |
|
|
Image Segmentation (I8)
|
100% |
452
7.55 IPS |
|
|
Pose Estimation (F32)
|
100% |
5609
6.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
10038
12.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
9981
12.1 IPS |
|
|
Object Detection (F32)
|
100% |
954
71.3 IPS |
|
|
Object Detection (F16)
|
100% |
1027
76.7 IPS |
|
|
Object Detection (I8)
|
97% |
952
71.0 IPS |
|
|
Face Detection (F32)
|
100% |
1670
19.9 IPS |
|
|
Face Detection (F16)
|
100% |
1560
18.5 IPS |
|
|
Face Detection (I8)
|
99% |
1790
21.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3580
27.8 IPS |
|
|
Depth Estimation (F16)
|
99% |
4036
31.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4033
31.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10897
14.3 IPS |
|
|
Style Transfer (F16)
|
100% |
12925
17.0 IPS |
|
|
Style Transfer (I8)
|
100% |
13040
17.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2933
104.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2492
89.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2498
89.2 IPS |
|
|
Text Classification (F32)
|
100% |
465
668.7 IPS |
|
|
Text Classification (F16)
|
100% |
549
789.0 IPS |
|
|
Text Classification (I8)
|
96% |
572
821.7 IPS |
|
|
Machine Translation (F32)
|
100% |
917
16.9 IPS |
|
|
Machine Translation (F16)
|
99% |
1053
19.4 IPS |
|
|
Machine Translation (I8)
|
99% |
891
16.4 IPS |
