MacBook Air (Late 2020)
Geekbench AI Score
2837
Single Precision Score
14462
Half Precision Score
14231
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mubtafa |
| Upload Date | March 18 2026 08:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
6349
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5627
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1113
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8835
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9184
148.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5225
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
67602
78.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
65691
77.0 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
99% |
6730
535.4 IPS |
|
|
Object Detection (Q)
|
91% |
6304
503.7 IPS |
|
|
Face Detection (SP)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
13303
158.1 IPS |
|
|
Face Detection (Q)
|
100% |
13030
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5019
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45886
353.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
48060
375.6 IPS |
|
|
Style Transfer (SP)
|
100% |
14911
19.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120166
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
115046
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3158
116.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23852
880.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24464
903.3 IPS |
|
|
Text Classification (SP)
|
100% |
2291
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2358
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2266
39.2 IPS |
