MacBook Air (2022)
Geekbench ML Score
3870
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 08:53 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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% |
1352
252.9 IPS |
|
|
Image Classification (F16)
|
100% |
2439
456.4 IPS |
|
|
Image Classification (I8)
|
99% |
2438
456.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
860
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1136
19.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1128
18.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
6600
7.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
14253
17.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
14191
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1446
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
2458
183.5 IPS |
|
|
Object Detection (I8)
|
97% |
1451
108.4 IPS |
|
|
Face Detection (F32)
|
100% |
3084
36.7 IPS |
|
|
Face Detection (F16)
|
97% |
5880
69.9 IPS |
|
|
Face Detection (I8)
|
97% |
5684
67.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5646
43.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
11504
89.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
11435
88.7 IPS |
|
|
Style Transfer (F32)
|
100% |
18183
23.9 IPS |
|
|
Style Transfer (F16)
|
100% |
27662
36.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27767
36.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4213
150.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4844
173.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4926
175.9 IPS |
|
|
Text Classification (F32)
|
100% |
2021
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3267
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3285
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1369
25.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1622
29.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1364
25.1 IPS |
