MacBook Air (Late 2020)
Geekbench ML Score
3284
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Msan2000 |
| Upload Date | June 29 2024 04:54 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Air (Late 2020) |
| Model ID | MacBookAir10,1 |
| Motherboard | MacBookAir10,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M1 |
| Base Frequency | 3.20 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1666
311.7 IPS |
|
|
Image Classification (F16)
|
100% |
1784
333.8 IPS |
|
|
Image Classification (I8)
|
99% |
1710
320.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
827
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
872
14.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
847
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16206
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17975
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17614
21.3 IPS |
|
|
Object Detection (F32)
|
100% |
1581
118.1 IPS |
|
|
Object Detection (F16)
|
100% |
1467
109.5 IPS |
|
|
Object Detection (I8)
|
97% |
1546
115.4 IPS |
|
|
Face Detection (F32)
|
100% |
5868
69.8 IPS |
|
|
Face Detection (F16)
|
98% |
6922
82.3 IPS |
|
|
Face Detection (I8)
|
97% |
6950
82.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
12086
93.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13864
107.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
12485
96.8 IPS |
|
|
Style Transfer (F32)
|
100% |
26729
35.2 IPS |
|
|
Style Transfer (F16)
|
100% |
34692
45.6 IPS |
|
|
Style Transfer (I8)
|
100% |
33992
44.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5054
180.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5913
211.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5536
197.7 IPS |
|
|
Text Classification (F32)
|
100% |
403
578.7 IPS |
|
|
Text Classification (F16)
|
100% |
454
652.0 IPS |
|
|
Text Classification (I8)
|
96% |
524
752.5 IPS |
|
|
Machine Translation (F32)
|
100% |
554
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
558
10.3 IPS |
|
|
Machine Translation (I8)
|
99% |
597
11.0 IPS |
