MacBook Air (Late 2020)
Geekbench AI Score
3240
Single Precision Score
5358
Half Precision Score
4393
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | iambjlu |
| Upload Date | November 06 2025 04:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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 | 3.16 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1375
255.6 IPS |
|
|
Image Classification (HP)
|
100% |
2186
406.6 IPS |
|
|
Image Classification (Q)
|
96% |
1545
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2563
41.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6487
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
13819
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12005
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2432
193.6 IPS |
|
|
Object Detection (Q)
|
94% |
1789
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5355
63.6 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5787
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11027
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7656
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17125
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26317
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21990
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3807
140.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4637
171.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3401
125.6 IPS |
|
|
Text Classification (SP)
|
100% |
2333
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4030
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4014
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4146
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4333
74.9 IPS |
