MacBook Air (Late 2020)
Geekbench AI Score
3204
Single Precision Score
5373
Half Precision Score
4424
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | hytham |
| Upload Date | April 07 2025 11:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1405
261.3 IPS |
|
|
Image Classification (HP)
|
100% |
2205
410.1 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14225
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12214
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1779
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5380
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3138
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5684
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10432
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7379
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16948
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26942
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22392
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3690
136.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4548
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3498
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4070
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2493
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4491
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4499
77.7 IPS |
