MacBook Air (Late 2020)
Geekbench AI Score
3197
Single Precision Score
5352
Half Precision Score
4414
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mulnir |
| Upload Date | May 03 2025 11:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
2204
409.8 IPS |
|
|
Image Classification (Q)
|
96% |
1577
294.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1345
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2530
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
14202
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12198
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2392
190.5 IPS |
|
|
Object Detection (Q)
|
94% |
1774
141.4 IPS |
|
|
Face Detection (SP)
|
100% |
2963
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5345
63.5 IPS |
|
|
Face Detection (Q)
|
100% |
3134
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5644
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10418
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7375
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16918
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26955
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22371
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4460
164.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3490
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4013
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4509
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4498
77.7 IPS |
