MacBook Air (Late 2020)
Geekbench AI Score
2825
Single Precision Score
4261
Half Precision Score
3665
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | July 24 2025 01:22 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
1671
310.8 IPS |
|
|
Image Classification (Q)
|
96% |
1224
228.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1655
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5773
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
13084
15.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11609
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
1933
153.9 IPS |
|
|
Object Detection (Q)
|
94% |
1502
119.7 IPS |
|
|
Face Detection (SP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (Q)
|
100% |
2604
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5174
39.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
8137
62.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
6149
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15582
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24387
31.3 IPS |
|
|
Style Transfer (Q)
|
96% |
20003
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3354
123.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3391
125.2 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3696
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1862
32.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3058
52.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3087
53.3 IPS |
