MacBook Air (Late 2020)
Geekbench AI Score
5323
Single Precision Score
6246
Half Precision Score
5831
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 31 2025 07:30 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 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% |
2422
450.4 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.9 IPS |
|
|
Image Classification (Q)
|
96% |
2533
473.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4052
65.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4344
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4123
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17281
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19357
22.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
18667
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2659
210.9 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2476
197.6 IPS |
|
|
Face Detection (SP)
|
100% |
6769
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
8582
102.0 IPS |
|
|
Face Detection (Q)
|
100% |
7368
87.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12369
95.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13841
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12771
99.8 IPS |
|
|
Style Transfer (SP)
|
100% |
29132
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35463
45.6 IPS |
|
|
Style Transfer (Q)
|
96% |
34204
44.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6539
241.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7459
275.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6107
225.5 IPS |
|
|
Text Classification (SP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4305
5.75 KIPS |
|
|
Text Classification (Q)
|
93% |
4275
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1061
18.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1122
19.4 IPS |
