MacBook Air (Late 2020)
Geekbench AI Score
4899
Single Precision Score
5638
Half Precision Score
5246
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 11 2025 03:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.8 IPS |
|
|
Image Classification (Q)
|
96% |
2247
419.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3644
59.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3966
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3824
62.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15569
18.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17379
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16924
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
2456
194.8 IPS |
|
|
Object Detection (Q)
|
92% |
2272
181.4 IPS |
|
|
Face Detection (SP)
|
100% |
6196
73.6 IPS |
|
|
Face Detection (HP)
|
100% |
7424
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
6244
74.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9893
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11613
89.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10311
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25624
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30321
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29260
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5940
219.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6347
234.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5389
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
99% |
4297
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4285
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1094
18.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1099
19.0 IPS |
