MacBook Air (Late 2020)
Geekbench AI Score
3188
Single Precision Score
5366
Half Precision Score
4409
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | dglow |
| Upload Date | April 05 2025 01:16 AM |
| Views | 10 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1390
258.6 IPS |
|
|
Image Classification (HP)
|
100% |
2188
406.9 IPS |
|
|
Image Classification (Q)
|
96% |
1571
293.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2524
40.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6461
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14176
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12125
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1489
118.1 IPS |
|
|
Object Detection (HP)
|
97% |
2382
189.6 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5384
64.0 IPS |
|
|
Face Detection (Q)
|
100% |
3119
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5638
43.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10300
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7356
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16848
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26864
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22274
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4599
169.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3501
129.3 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4091
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4484
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4474
77.3 IPS |
