MacBook Air (Late 2020)
Geekbench AI Score
3079
Single Precision Score
5392
Half Precision Score
4431
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 09:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5031i) |
| 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% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.6 IPS |
|
|
Image Classification (Q)
|
96% |
1575
294.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2525
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6003
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14114
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12131
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
97% |
2422
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1795
143.1 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5440
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3190
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5445
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10313
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7312
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16454
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26037
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21732
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3465
127.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4616
170.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2345
3.13 KIPS |
|
|
Text Classification (HP)
|
99% |
4133
5.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4108
5.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2456
42.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4675
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4646
80.3 IPS |
