MacBook Air (Late 2020)
Geekbench AI Score
4829
Single Precision Score
5629
Half Precision Score
5287
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 13 2026 11:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
2406
447.5 IPS |
|
|
Image Classification (Q)
|
96% |
2100
392.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3668
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3799
61.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3655
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15553
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17205
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16873
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2131
169.1 IPS |
|
|
Object Detection (HP)
|
100% |
2267
179.8 IPS |
|
|
Object Detection (Q)
|
92% |
2286
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
5858
69.6 IPS |
|
|
Face Detection (HP)
|
100% |
7558
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
6200
73.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9922
76.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11705
90.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10807
84.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26617
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31165
40.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30570
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6195
228.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6826
252.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6105
225.4 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4107
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1235
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1160
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1157
20.0 IPS |
