MacBook Air (Late 2020)
Geekbench AI Score
367
Single Precision Score
4923
Half Precision Score
3820
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 29 2024 12:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 1.28 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (HP)
|
100% |
2798
520.3 IPS |
|
|
Image Classification (Q)
|
96% |
2233
417.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.08 IPS |
|
|
Image Segmentation (HP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
143
2.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
911
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
21830
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26033
30.5 IPS |
|
|
Object Detection (SP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (HP)
|
99% |
2745
218.4 IPS |
|
|
Object Detection (Q)
|
93% |
2277
181.7 IPS |
|
|
Face Detection (SP)
|
100% |
392
4.66 IPS |
|
|
Face Detection (HP)
|
100% |
5106
60.7 IPS |
|
|
Face Detection (Q)
|
100% |
5892
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
645
4.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
18287
140.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
18939
148.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2155
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
44776
57.6 IPS |
|
|
Style Transfer (Q)
|
96% |
42570
54.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
515
19.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7639
282.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8140
300.6 IPS |
|
|
Text Classification (SP)
|
100% |
87
116.7 IPS |
|
|
Text Classification (HP)
|
100% |
1570
2.10 KIPS |
|
|
Text Classification (Q)
|
93% |
1576
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
355
6.12 IPS |
|
|
Machine Translation (HP)
|
100% |
568
9.78 IPS |
|
|
Machine Translation (Q)
|
98% |
574
9.92 IPS |
