MacBook Air (2022)
Geekbench ML Score
4883
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 08:52 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 | 3.47 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3018
564.8 IPS |
|
|
Image Classification (F16)
|
100% |
2937
549.6 IPS |
|
|
Image Classification (I8)
|
99% |
2614
489.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1347
22.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1407
23.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1372
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18867
22.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
20227
24.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
19777
23.9 IPS |
|
|
Object Detection (F32)
|
100% |
2663
198.8 IPS |
|
|
Object Detection (F16)
|
100% |
2607
194.6 IPS |
|
|
Object Detection (I8)
|
97% |
960
71.6 IPS |
|
|
Face Detection (F32)
|
100% |
8254
98.1 IPS |
|
|
Face Detection (F16)
|
98% |
8909
105.9 IPS |
|
|
Face Detection (I8)
|
97% |
8782
104.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
13054
101.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
14178
109.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12680
98.3 IPS |
|
|
Style Transfer (F32)
|
100% |
34901
45.9 IPS |
|
|
Style Transfer (F16)
|
100% |
38915
51.2 IPS |
|
|
Style Transfer (I8)
|
100% |
38692
50.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7594
271.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7164
255.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7659
273.5 IPS |
|
|
Text Classification (F32)
|
100% |
2036
2.93 KIPS |
|
|
Text Classification (F16)
|
100% |
3272
4.70 KIPS |
|
|
Text Classification (I8)
|
96% |
3246
4.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
641
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
677
12.4 IPS |
|
|
Machine Translation (I8)
|
99% |
487
8.97 IPS |
