MacBook Air (Late 2020)
Geekbench AI Score
3088
Single Precision Score
15075
Half Precision Score
14552
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | December 09 2025 01:37 PM |
| Views | 2 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1310
243.6 IPS |
|
|
Image Classification (HP)
|
100% |
6211
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
5896
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8991
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9374
152.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6005
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
67772
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
64436
75.5 IPS |
|
|
Object Detection (SP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (HP)
|
99% |
7123
566.6 IPS |
|
|
Object Detection (Q)
|
91% |
6263
500.4 IPS |
|
|
Face Detection (SP)
|
100% |
2990
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
13798
163.9 IPS |
|
|
Face Detection (Q)
|
100% |
12685
150.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5473
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44947
346.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
45046
352.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16477
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
121537
156.2 IPS |
|
|
Style Transfer (Q)
|
96% |
114159
147.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3455
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24497
904.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24315
897.9 IPS |
|
|
Text Classification (SP)
|
100% |
2382
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4353
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4207
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2798
48.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2863
49.5 IPS |
