MacBook Air (Late 2020)
Geekbench AI Score
3043
Single Precision Score
15213
Half Precision Score
14934
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 04:44 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
6362
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6018
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8995
145.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9246
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5729
6.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
69672
81.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
67302
78.9 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
99% |
7004
557.2 IPS |
|
|
Object Detection (Q)
|
91% |
6534
522.1 IPS |
|
|
Face Detection (SP)
|
100% |
2889
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
13770
163.6 IPS |
|
|
Face Detection (Q)
|
100% |
13138
156.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5330
41.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
48065
370.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
48768
381.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16118
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
123157
158.3 IPS |
|
|
Style Transfer (Q)
|
96% |
117206
151.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24701
912.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25132
928.0 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4262
5.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2805
48.5 IPS |
