MacBook Air (Late 2020)
Geekbench AI Score
3200
Single Precision Score
15977
Half Precision Score
15678
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 04:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
6355
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6029
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9718
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10027
162.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6489
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
69018
80.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
66674
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1498
118.8 IPS |
|
|
Object Detection (HP)
|
99% |
7235
575.5 IPS |
|
|
Object Detection (Q)
|
91% |
6913
552.3 IPS |
|
|
Face Detection (SP)
|
100% |
2986
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16852
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15414
183.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5675
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48737
375.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49290
385.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16931
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122731
157.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115906
149.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23695
874.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24281
896.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4010
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
3993
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3670
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3773
65.2 IPS |
