MacBook Air (Late 2020)
Geekbench AI Score
3193
Single Precision Score
5360
Half Precision Score
4423
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 04:58 PM |
| Views | 12 |
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% |
2229
414.6 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14227
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12207
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1497
118.7 IPS |
|
|
Object Detection (HP)
|
97% |
2400
191.0 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.8 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
5339
63.4 IPS |
|
|
Face Detection (Q)
|
100% |
3134
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5663
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10419
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7369
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16923
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26952
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22304
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3661
135.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4491
165.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3512
129.7 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4077
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2495
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4496
77.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4518
78.1 IPS |
