MacBook Air (Late 2020)
Geekbench AI Score
2105
Single Precision Score
3534
Half Precision Score
2883
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 12 2025 07:20 AM |
| Views | 2 |
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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
897
166.9 IPS |
|
|
Image Classification (HP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (Q)
|
96% |
990
184.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1620
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3921
4.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
8830
10.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
7636
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
968
76.8 IPS |
|
|
Object Detection (HP)
|
97% |
1592
126.7 IPS |
|
|
Object Detection (Q)
|
94% |
1154
92.0 IPS |
|
|
Face Detection (SP)
|
100% |
2025
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
3648
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
2059
24.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3561
27.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
6827
52.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4751
37.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11248
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
17570
22.6 IPS |
|
|
Style Transfer (Q)
|
96% |
14473
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2526
93.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3079
113.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2314
85.4 IPS |
|
|
Text Classification (SP)
|
100% |
1565
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2722
3.63 KIPS |
|
|
Text Classification (Q)
|
93% |
2697
3.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1836
31.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3213
55.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3177
54.9 IPS |
