MacBook Air (Late 2020)
Geekbench AI Score
3083
Single Precision Score
14921
Half Precision Score
14491
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Teva |
| Upload Date | January 24 2026 09:08 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
6281
1.17 KIPS |
|
|
Image Classification (Q)
|
96% |
5908
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8842
143.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9172
148.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6013
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
68333
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
64650
75.8 IPS |
|
|
Object Detection (SP)
|
100% |
1396
110.7 IPS |
|
|
Object Detection (HP)
|
99% |
6872
546.7 IPS |
|
|
Object Detection (Q)
|
91% |
6336
506.3 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
13867
164.8 IPS |
|
|
Face Detection (Q)
|
100% |
12381
147.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5455
42.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
44987
346.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
44889
350.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16496
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121114
155.7 IPS |
|
|
Style Transfer (Q)
|
96% |
113998
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3446
127.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24126
890.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24175
892.7 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4165
5.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4243
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2763
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2831
48.9 IPS |
