MacBook Air (Late 2020)
Geekbench AI Score
3027
Single Precision Score
5334
Half Precision Score
4395
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 18 2025 04:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 3.15 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1296
241.1 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.5 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2500
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5763
6.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
13607
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11686
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1350
107.1 IPS |
|
|
Object Detection (HP)
|
97% |
2394
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1752
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
5369
63.8 IPS |
|
|
Face Detection (Q)
|
100% |
3110
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5338
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10408
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7187
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16124
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25693
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21484
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3439
127.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4318
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2425
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4334
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4313
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2423
41.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4614
79.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4623
79.9 IPS |
