MacBook Air (Late 2020)
Geekbench AI Score
3091
Single Precision Score
5453
Half Precision Score
4457
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 09:10 AM |
| Views | 4 |
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% |
1305
242.7 IPS |
|
|
Image Classification (HP)
|
100% |
2228
414.4 IPS |
|
|
Image Classification (Q)
|
96% |
1585
296.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2169
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2543
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6004
7.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
14123
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12135
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2421
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2981
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5450
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3184
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5480
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10435
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7376
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16466
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26306
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21891
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3475
128.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4677
172.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4303
5.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4175
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2472
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4673
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4698
81.2 IPS |
