MacBook Air (Late 2020)
Geekbench AI Score
3066
Single Precision Score
5406
Half Precision Score
4441
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 08 2026 01:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.1 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2523
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5959
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
14054
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12109
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1378
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
2399
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.6 IPS |
|
|
Face Detection (SP)
|
100% |
2910
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5410
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5442
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10215
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7346
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16354
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26202
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21782
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4705
173.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3493
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4245
5.67 KIPS |
|
|
Text Classification (Q)
|
93% |
4234
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2447
42.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4625
79.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4670
80.7 IPS |
