MacBook Air (Late 2020)
Geekbench AI Score
3123
Single Precision Score
5498
Half Precision Score
4484
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 07 2025 09:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.6 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6029
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14128
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12147
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
97% |
2419
192.6 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5457
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3171
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5491
42.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10314
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7377
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16471
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26342
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21902
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3510
129.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4814
177.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2472
3.30 KIPS |
|
|
Text Classification (HP)
|
99% |
4417
5.89 KIPS |
|
|
Text Classification (Q)
|
93% |
4393
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2506
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4727
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4728
81.7 IPS |
