MacBook Air (Late 2020)
Geekbench ML Score
6780
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | coolcube |
| Upload Date | August 16 2024 11:52 AM |
| Views | 3 |
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 | 3.19 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% |
1528
285.9 IPS |
|
|
Image Classification (F16)
|
100% |
6231
1.17 KIPS |
|
|
Image Classification (I8)
|
99% |
6441
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
3805
63.6 IPS |
|
|
Image Segmentation (I8)
|
100% |
3790
63.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
16564
20.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
62992
76.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
63649
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
1527
114.0 IPS |
|
|
Object Detection (F16)
|
100% |
4002
298.8 IPS |
|
|
Object Detection (I8)
|
97% |
1550
115.7 IPS |
|
|
Face Detection (F32)
|
100% |
5742
68.3 IPS |
|
|
Face Detection (F16)
|
97% |
11564
137.5 IPS |
|
|
Face Detection (I8)
|
96% |
10331
122.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
12245
95.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
41182
319.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
41147
319.1 IPS |
|
|
Style Transfer (F32)
|
100% |
27394
36.0 IPS |
|
|
Style Transfer (F16)
|
100% |
113928
149.9 IPS |
|
|
Style Transfer (I8)
|
100% |
119200
156.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6585
235.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18134
647.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18213
650.5 IPS |
|
|
Text Classification (F32)
|
100% |
540
775.6 IPS |
|
|
Text Classification (F16)
|
100% |
2267
3.26 KIPS |
|
|
Text Classification (I8)
|
96% |
2280
3.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
582
10.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1821
33.5 IPS |
|
|
Machine Translation (I8)
|
99% |
556
10.2 IPS |
