MacBook Air (Late 2020)
Geekbench ML Score
3318
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | coolcube |
| Upload Date | August 16 2024 11:56 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1553
290.5 IPS |
|
|
Image Classification (F16)
|
100% |
2024
378.7 IPS |
|
|
Image Classification (I8)
|
99% |
1636
306.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
818
13.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
901
15.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
843
14.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
16434
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
18100
21.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
17725
21.5 IPS |
|
|
Object Detection (F32)
|
100% |
1512
112.9 IPS |
|
|
Object Detection (F16)
|
100% |
1441
107.6 IPS |
|
|
Object Detection (I8)
|
97% |
1425
106.4 IPS |
|
|
Face Detection (F32)
|
100% |
5915
70.3 IPS |
|
|
Face Detection (F16)
|
98% |
7040
83.7 IPS |
|
|
Face Detection (I8)
|
97% |
7101
84.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
12184
94.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
13873
107.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
12579
97.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28678
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34933
46.0 IPS |
|
|
Style Transfer (I8)
|
100% |
34137
44.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5029
179.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6170
220.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5156
184.1 IPS |
|
|
Text Classification (F32)
|
100% |
441
633.5 IPS |
|
|
Text Classification (F16)
|
100% |
558
801.4 IPS |
|
|
Text Classification (I8)
|
96% |
547
785.8 IPS |
|
|
Machine Translation (F32)
|
100% |
566
10.4 IPS |
|
|
Machine Translation (F16)
|
100% |
559
10.3 IPS |
|
|
Machine Translation (I8)
|
99% |
556
10.2 IPS |
