MacBook Air (Late 2020)
Geekbench AI Score
4342
Single Precision Score
4764
Half Precision Score
1670
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 23 2025 10:22 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.7 IPS |
|
|
Image Classification (HP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (Q)
|
97% |
2221
414.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2604
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3577
58.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3537
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16653
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18029
21.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
16244
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (Q)
|
92% |
2098
167.5 IPS |
|
|
Face Detection (SP)
|
100% |
6301
74.9 IPS |
|
|
Face Detection (HP)
|
100% |
7868
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
5295
62.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11994
92.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
13878
106.9 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29011
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
34562
44.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31970
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6210
229.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7160
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5546
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
1004
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
741
988.4 IPS |
|
|
Text Classification (Q)
|
93% |
747
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
832
14.3 IPS |
|
|
Machine Translation (HP)
|
100% |
897
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
899
15.5 IPS |
