MacBook Air (Late 2020)
Geekbench AI Score
5179
Single Precision Score
6068
Half Precision Score
4750
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | February 01 2026 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
2234
415.5 IPS |
|
|
Image Classification (HP)
|
100% |
2292
426.2 IPS |
|
|
Image Classification (Q)
|
99% |
2273
423.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3984
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
4227
68.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17059
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19241
22.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
18180
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2467
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
6538
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
8455
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
6804
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12083
93.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14262
109.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
2113
16.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28940
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35213
45.3 IPS |
|
|
Style Transfer (Q)
|
100% |
34643
44.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6481
239.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7456
275.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6148
227.8 IPS |
|
|
Text Classification (SP)
|
100% |
2301
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4087
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1044
18.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1113
19.2 IPS |
