MacBook Air (2022)
Geekbench ML Score
7230
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 07:09 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3530
660.6 IPS |
|
|
Image Classification (F16)
|
100% |
6406
1.20 KIPS |
|
|
Image Classification (I8)
|
99% |
6793
1.27 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1536
25.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1569
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
23591
28.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
83070
100.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
83405
101.0 IPS |
|
|
Object Detection (F32)
|
100% |
2875
214.6 IPS |
|
|
Object Detection (F16)
|
100% |
4574
341.5 IPS |
|
|
Object Detection (I8)
|
97% |
2653
198.0 IPS |
|
|
Face Detection (F32)
|
100% |
9277
110.3 IPS |
|
|
Face Detection (F16)
|
97% |
10743
127.7 IPS |
|
|
Face Detection (I8)
|
96% |
10549
125.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
16552
128.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
43498
337.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
48063
372.7 IPS |
|
|
Style Transfer (F32)
|
100% |
41140
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
131019
172.3 IPS |
|
|
Style Transfer (I8)
|
100% |
129030
169.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7364
263.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18374
656.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18807
671.7 IPS |
|
|
Text Classification (F32)
|
100% |
639
919.0 IPS |
|
|
Text Classification (F16)
|
100% |
660
948.5 IPS |
|
|
Text Classification (I8)
|
96% |
659
946.9 IPS |
|
|
Machine Translation (F32)
|
100% |
681
12.5 IPS |
|
|
Machine Translation (F16)
|
100% |
2604
47.9 IPS |
|
|
Machine Translation (I8)
|
99% |
646
11.9 IPS |
