MacBook Air (Late 2020)
Geekbench AI Score
2030
Single Precision Score
3683
Half Precision Score
2972
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | lcalaman |
| Upload Date | March 09 2026 05:11 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
1781
331.2 IPS |
|
|
Image Classification (Q)
|
96% |
1332
248.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
706
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1442
23.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1706
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3728
4.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
10342
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
5714
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (HP)
|
97% |
1802
143.5 IPS |
|
|
Object Detection (Q)
|
94% |
1237
98.6 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
2368
28.1 IPS |
|
|
Face Detection (Q)
|
100% |
1723
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3604
27.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6826
52.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5360
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10001
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18709
24.1 IPS |
|
|
Style Transfer (Q)
|
96% |
13926
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2276
84.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3395
125.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2579
95.2 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
99% |
3551
4.74 KIPS |
|
|
Text Classification (Q)
|
93% |
3529
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1555
26.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2636
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2860
49.4 IPS |
