MacBook Air (Late 2020)
Geekbench ML Score
1985
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 04:15 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
853
159.6 IPS |
|
|
Image Classification (F16)
|
100% |
1056
197.6 IPS |
|
|
Image Classification (I8)
|
99% |
1053
197.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
467
7.81 IPS |
|
|
Image Segmentation (F16)
|
100% |
447
7.46 IPS |
|
|
Image Segmentation (I8)
|
100% |
448
7.49 IPS |
|
|
Pose Estimation (F32)
|
100% |
3698
4.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
8522
10.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
8545
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
833
62.2 IPS |
|
|
Object Detection (F16)
|
100% |
1123
83.8 IPS |
|
|
Object Detection (I8)
|
97% |
840
62.7 IPS |
|
|
Face Detection (F32)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (F16)
|
97% |
2556
30.4 IPS |
|
|
Face Detection (I8)
|
97% |
2559
30.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3383
26.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
5136
39.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
5146
39.9 IPS |
|
|
Style Transfer (F32)
|
100% |
10227
13.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15799
20.8 IPS |
|
|
Style Transfer (I8)
|
100% |
15887
20.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2342
83.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2977
106.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
2969
106.0 IPS |
|
|
Text Classification (F32)
|
100% |
1412
2.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2243
3.22 KIPS |
|
|
Text Classification (I8)
|
96% |
2220
3.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
478
8.79 IPS |
|
|
Machine Translation (F16)
|
100% |
543
10.0 IPS |
|
|
Machine Translation (I8)
|
99% |
476
8.76 IPS |
