MacBook Air (Late 2020)
Geekbench AI Score
2976
Single Precision Score
5027
Half Precision Score
4141
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | amirtaraj |
| Upload Date | June 22 2025 08:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5279m) |
| 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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
2079
386.6 IPS |
|
|
Image Classification (Q)
|
96% |
1498
279.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1303
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2445
39.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
13215
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11393
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1441
114.3 IPS |
|
|
Object Detection (HP)
|
97% |
2302
183.2 IPS |
|
|
Object Detection (Q)
|
94% |
1695
135.1 IPS |
|
|
Face Detection (SP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (HP)
|
100% |
5101
60.6 IPS |
|
|
Face Detection (Q)
|
100% |
2977
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5293
40.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9402
72.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6395
50.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15088
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25157
32.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21246
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3488
128.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4105
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3169
117.0 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3775
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2310
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4163
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4341
75.0 IPS |
