MacBook Air (Late 2020)
Geekbench ML Score
6748
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 03:48 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1703
318.6 IPS |
|
|
Image Classification (F16)
|
100% |
6091
1.14 KIPS |
|
|
Image Classification (I8)
|
99% |
6409
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
828
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1110
18.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
1109
18.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16578
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62737
76.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
63813
77.3 IPS |
|
|
Object Detection (F32)
|
100% |
1462
109.1 IPS |
|
|
Object Detection (F16)
|
100% |
4015
299.7 IPS |
|
|
Object Detection (I8)
|
97% |
1753
130.9 IPS |
|
|
Face Detection (F32)
|
100% |
5640
67.1 IPS |
|
|
Face Detection (F16)
|
97% |
11197
133.1 IPS |
|
|
Face Detection (I8)
|
96% |
12137
144.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12210
94.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
41551
322.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
42366
328.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28705
37.8 IPS |
|
|
Style Transfer (F16)
|
100% |
113680
149.5 IPS |
|
|
Style Transfer (I8)
|
100% |
118692
156.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4947
176.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23638
844.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23563
841.5 IPS |
|
|
Text Classification (F32)
|
100% |
2097
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3530
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3571
5.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
496
9.13 IPS |
|
|
Machine Translation (F16)
|
100% |
1296
23.8 IPS |
|
|
Machine Translation (I8)
|
99% |
545
10.0 IPS |
