MacBook Air (2022)
Geekbench ML Score
2049
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 22 2024 06:09 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.3.1 (a) (Build 22E772610a) |
| 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 | 3.48 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% |
1167
218.4 IPS |
|
|
Image Classification (F16)
|
100% |
1029
192.6 IPS |
|
|
Image Classification (I8)
|
99% |
1095
204.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
713
11.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
629
10.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
618
10.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5839
7.07 IPS |
|
|
Pose Estimation (F16)
|
100% |
10023
12.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
10514
12.7 IPS |
|
|
Object Detection (F32)
|
100% |
1223
91.3 IPS |
|
|
Object Detection (F16)
|
100% |
1165
87.0 IPS |
|
|
Object Detection (I8)
|
97% |
1246
93.0 IPS |
|
|
Face Detection (F32)
|
100% |
2150
25.6 IPS |
|
|
Face Detection (F16)
|
100% |
1864
22.2 IPS |
|
|
Face Detection (I8)
|
99% |
1879
22.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
3609
28.0 IPS |
|
|
Depth Estimation (F16)
|
99% |
4038
31.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
4171
32.3 IPS |
|
|
Style Transfer (F32)
|
100% |
10778
14.2 IPS |
|
|
Style Transfer (F16)
|
100% |
12545
16.5 IPS |
|
|
Style Transfer (I8)
|
100% |
12317
16.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2344
83.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2268
81.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2812
100.4 IPS |
|
|
Text Classification (F32)
|
100% |
398
572.5 IPS |
|
|
Text Classification (F16)
|
100% |
400
574.4 IPS |
|
|
Text Classification (I8)
|
96% |
515
740.0 IPS |
|
|
Machine Translation (F32)
|
100% |
1748
32.2 IPS |
|
|
Machine Translation (F16)
|
99% |
1976
36.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1743
32.1 IPS |
