MacBook Air (Late 2020)
Geekbench AI Score
2843
Single Precision Score
4284
Half Precision Score
3723
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 09:30 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1700
316.1 IPS |
|
|
Image Classification (Q)
|
96% |
1290
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1684
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5838
6.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
13515
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11662
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
1945
154.8 IPS |
|
|
Object Detection (Q)
|
94% |
1524
121.5 IPS |
|
|
Face Detection (SP)
|
100% |
2394
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4021
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2658
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5241
40.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
8229
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6206
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15852
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24775
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20903
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3336
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4382
161.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3620
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1832
31.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3050
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
