MacBook Air (Late 2020)
Geekbench AI Score
4974
Single Precision Score
5754
Half Precision Score
5374
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 09:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2190
407.2 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (Q)
|
96% |
2170
405.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3716
60.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3832
62.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3687
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15530
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17377
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16835
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.6 IPS |
|
|
Object Detection (HP)
|
100% |
2491
197.6 IPS |
|
|
Object Detection (Q)
|
92% |
2307
184.2 IPS |
|
|
Face Detection (SP)
|
100% |
6546
77.8 IPS |
|
|
Face Detection (HP)
|
100% |
7755
92.1 IPS |
|
|
Face Detection (Q)
|
100% |
6439
76.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10312
79.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11654
89.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10855
84.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26787
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31352
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30309
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6029
222.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6662
246.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5659
209.0 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4294
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
