MacBook Air (Late 2020)
Geekbench AI Score
5403
Single Precision Score
6265
Half Precision Score
5846
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | sarcoma |
| Upload Date | May 05 2025 12:27 PM |
| Views | 4 |
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 | 3.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2661
494.9 IPS |
|
|
Image Classification (HP)
|
100% |
2719
505.6 IPS |
|
|
Image Classification (Q)
|
96% |
2674
499.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4110
66.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4167
67.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17139
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18716
21.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
18074
21.2 IPS |
|
|
Object Detection (SP)
|
100% |
2714
215.2 IPS |
|
|
Object Detection (HP)
|
100% |
2801
222.2 IPS |
|
|
Object Detection (Q)
|
92% |
2612
208.5 IPS |
|
|
Face Detection (SP)
|
100% |
6666
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8715
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
7263
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12295
94.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
13595
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12495
97.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29056
37.4 IPS |
|
|
Style Transfer (HP)
|
100% |
34604
44.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33883
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6839
252.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7628
281.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6312
233.1 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3973
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3967
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1118
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1213
20.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1153
19.9 IPS |
