MacBook Air (Late 2020)
Geekbench AI Score
3110
Single Precision Score
5476
Half Precision Score
4471
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 22 2025 06:50 PM |
| Views | 3 |
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% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
2231
414.9 IPS |
|
|
Image Classification (Q)
|
96% |
1576
294.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2540
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6024
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14126
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12123
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2410
191.9 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.4 IPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5425
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3161
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5474
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10349
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7382
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16426
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26295
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21883
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3504
129.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4796
177.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3532
130.4 IPS |
|
|
Text Classification (SP)
|
100% |
2466
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
4371
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4329
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
2487
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4728
81.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4723
81.6 IPS |
