MacBook Air (Late 2020)
Geekbench AI Score
1806
Single Precision Score
12443
Half Precision Score
10108
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 29 2025 01:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.8.2 (Build 23J126) |
| 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% |
994
184.9 IPS |
|
|
Image Classification (HP)
|
100% |
6412
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5708
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4244
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
509
8.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
5718
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
67528
78.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
64781
75.9 IPS |
|
|
Object Detection (SP)
|
100% |
1070
84.9 IPS |
|
|
Object Detection (HP)
|
99% |
7192
572.1 IPS |
|
|
Object Detection (Q)
|
93% |
6611
527.5 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
12188
144.8 IPS |
|
|
Face Detection (Q)
|
100% |
12386
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3583
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
44734
344.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
51250
400.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9789
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
119113
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
114372
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18034
665.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20921
772.5 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.5 IPS |
|
|
Text Classification (HP)
|
100% |
2518
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2574
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1364
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2291
39.6 IPS |
