MacBook Air (2022)
Geekbench ML Score
2189
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2024 06:53 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | 1.95 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% |
916
171.4 IPS |
|
|
Image Classification (F16)
|
100% |
1121
209.8 IPS |
|
|
Image Classification (I8)
|
99% |
1129
211.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
573
9.57 IPS |
|
|
Image Segmentation (F16)
|
100% |
555
9.27 IPS |
|
|
Image Segmentation (I8)
|
100% |
555
9.27 IPS |
|
|
Pose Estimation (F32)
|
100% |
3548
4.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
8738
10.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
8727
10.6 IPS |
|
|
Object Detection (F32)
|
100% |
935
69.8 IPS |
|
|
Object Detection (F16)
|
100% |
1226
91.6 IPS |
|
|
Object Detection (I8)
|
97% |
929
69.3 IPS |
|
|
Face Detection (F32)
|
100% |
1863
22.2 IPS |
|
|
Face Detection (F16)
|
97% |
2641
31.4 IPS |
|
|
Face Detection (I8)
|
97% |
2591
30.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
3389
26.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
5292
41.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
5276
40.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10482
13.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16174
21.3 IPS |
|
|
Style Transfer (I8)
|
100% |
16161
21.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2414
86.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3219
115.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
3221
115.0 IPS |
|
|
Text Classification (F32)
|
100% |
1382
1.99 KIPS |
|
|
Text Classification (F16)
|
100% |
1931
2.77 KIPS |
|
|
Text Classification (I8)
|
96% |
1972
2.83 KIPS |
|
|
Machine Translation (F32)
|
100% |
824
15.2 IPS |
|
|
Machine Translation (F16)
|
100% |
933
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
822
15.1 IPS |
