MacBook Air (Late 2020)
Geekbench AI Score
3082
Single Precision Score
5409
Half Precision Score
4450
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 17 2025 12:46 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
96% |
1579
294.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2533
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14124
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12146
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1386
110.0 IPS |
|
|
Object Detection (HP)
|
97% |
2406
191.5 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5445
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3180
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5458
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10445
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7380
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16485
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26255
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21892
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3445
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4667
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2397
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4165
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4176
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2478
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4659
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4691
81.1 IPS |
