MacBook Air (Late 2020)
Geekbench AI Score
5037
Single Precision Score
5940
Half Precision Score
5558
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| Upload Date | January 05 2026 08:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
2490
463.0 IPS |
|
|
Image Classification (Q)
|
96% |
2365
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4009
65.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4265
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4121
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16898
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18251
21.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17847
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (Q)
|
92% |
2375
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
5977
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
7794
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
6046
71.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10438
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13201
101.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12492
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28744
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35101
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
34112
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6391
236.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6884
254.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6059
223.7 IPS |
|
|
Text Classification (SP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4345
5.80 KIPS |
|
|
Text Classification (Q)
|
93% |
4321
5.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1050
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1010
17.4 IPS |
