MacBook Air (Late 2020)
Geekbench AI Score
4872
Single Precision Score
5497
Half Precision Score
5158
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 04:45 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1981
368.4 IPS |
|
|
Image Classification (HP)
|
100% |
1972
366.8 IPS |
|
|
Image Classification (Q)
|
96% |
2085
389.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3636
58.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3787
61.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3642
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15742
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16848
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
16276
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2417
191.7 IPS |
|
|
Object Detection (HP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (Q)
|
92% |
2218
177.0 IPS |
|
|
Face Detection (SP)
|
100% |
6445
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7443
88.4 IPS |
|
|
Face Detection (Q)
|
100% |
6184
73.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10177
78.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11232
86.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
10408
81.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27027
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30782
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29806
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6086
224.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6637
245.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5665
209.2 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4141
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
3972
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1148
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1127
19.5 IPS |
