MacBook Air (2022)
Geekbench ML Score
9204
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 08:50 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3030
567.0 IPS |
|
|
Image Classification (F16)
|
100% |
11069
2.07 KIPS |
|
|
Image Classification (I8)
|
99% |
11040
2.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1357
22.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1828
30.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1777
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
18887
22.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
95562
115.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
99092
120.0 IPS |
|
|
Object Detection (F32)
|
100% |
2673
199.6 IPS |
|
|
Object Detection (F16)
|
100% |
5419
404.6 IPS |
|
|
Object Detection (I8)
|
97% |
2150
160.5 IPS |
|
|
Face Detection (F32)
|
100% |
8215
97.7 IPS |
|
|
Face Detection (F16)
|
97% |
19709
234.3 IPS |
|
|
Face Detection (I8)
|
96% |
19738
234.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
13175
102.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
52412
406.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
45991
356.7 IPS |
|
|
Style Transfer (F32)
|
100% |
34828
45.8 IPS |
|
|
Style Transfer (F16)
|
100% |
147451
194.0 IPS |
|
|
Style Transfer (I8)
|
100% |
145384
191.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7664
273.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
33321
1.19 KIPS |
|
|
Image Super-Resolution (I8)
|
100% |
34747
1.24 KIPS |
|
|
Text Classification (F32)
|
100% |
2016
2.90 KIPS |
|
|
Text Classification (F16)
|
100% |
3305
4.75 KIPS |
|
|
Text Classification (I8)
|
96% |
3278
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
652
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1960
36.1 IPS |
|
|
Machine Translation (I8)
|
99% |
488
8.97 IPS |
