MacBook Air (Late 2020)
Geekbench AI Score
3208
Single Precision Score
15992
Half Precision Score
15673
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | uehashu |
| Upload Date | August 10 2025 02:39 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
6408
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6015
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1359
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9728
157.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10014
162.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6479
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68967
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66995
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1512
120.0 IPS |
|
|
Object Detection (HP)
|
99% |
7309
581.4 IPS |
|
|
Object Detection (Q)
|
91% |
6900
551.4 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16857
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
15517
184.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5678
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48678
375.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49109
383.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16962
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122585
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115933
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3679
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23753
877.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24252
895.5 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2492
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3770
65.1 IPS |
