MacBook Air (Late 2020)
Geekbench ML Score
5323
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 05:18 PM |
| 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 | 1.95 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% |
1224
229.1 IPS |
|
|
Image Classification (F16)
|
100% |
4935
923.5 IPS |
|
|
Image Classification (I8)
|
99% |
4918
920.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
738
12.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
3134
52.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
3135
52.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
9526
11.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
44330
53.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
44570
54.0 IPS |
|
|
Object Detection (F32)
|
100% |
1291
96.3 IPS |
|
|
Object Detection (F16)
|
100% |
2997
223.7 IPS |
|
|
Object Detection (I8)
|
97% |
1378
102.9 IPS |
|
|
Face Detection (F32)
|
100% |
4339
51.6 IPS |
|
|
Face Detection (F16)
|
97% |
8913
106.0 IPS |
|
|
Face Detection (I8)
|
96% |
8978
106.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
8402
65.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
34181
265.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
34019
263.8 IPS |
|
|
Style Transfer (F32)
|
100% |
22946
30.2 IPS |
|
|
Style Transfer (F16)
|
100% |
87613
115.2 IPS |
|
|
Style Transfer (I8)
|
100% |
91680
120.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4648
166.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
14509
518.1 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
14330
511.8 IPS |
|
|
Text Classification (F32)
|
100% |
311
447.1 IPS |
|
|
Text Classification (F16)
|
100% |
2082
2.99 KIPS |
|
|
Text Classification (I8)
|
96% |
2183
3.14 KIPS |
|
|
Machine Translation (F32)
|
100% |
465
8.55 IPS |
|
|
Machine Translation (F16)
|
100% |
1529
28.1 IPS |
|
|
Machine Translation (I8)
|
99% |
465
8.56 IPS |
