MacBook Air (Late 2020)
Geekbench AI Score
2087
Single Precision Score
11099
Half Precision Score
10838
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | October 06 2025 07:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
836
155.5 IPS |
|
|
Image Classification (HP)
|
100% |
4911
913.2 IPS |
|
|
Image Classification (Q)
|
96% |
4556
850.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6921
112.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7289
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3930
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
47278
55.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
45687
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
925
73.4 IPS |
|
|
Object Detection (HP)
|
99% |
5015
398.9 IPS |
|
|
Object Detection (Q)
|
91% |
4756
380.1 IPS |
|
|
Face Detection (SP)
|
100% |
2123
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
9821
116.7 IPS |
|
|
Face Detection (Q)
|
100% |
9439
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3556
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34554
266.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
34408
268.9 IPS |
|
|
Style Transfer (SP)
|
100% |
10943
14.1 IPS |
|
|
Style Transfer (HP)
|
100% |
90670
116.6 IPS |
|
|
Style Transfer (Q)
|
96% |
86104
111.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2330
86.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18592
686.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18066
667.1 IPS |
|
|
Text Classification (SP)
|
100% |
1605
2.14 KIPS |
|
|
Text Classification (HP)
|
99% |
2792
3.73 KIPS |
|
|
Text Classification (Q)
|
93% |
2744
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1811
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2204
38.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2237
38.7 IPS |
