MacBook Air (Late 2020)
Geekbench AI Score
5256
Single Precision Score
6022
Half Precision Score
5599
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mulnir |
| Upload Date | May 03 2025 11:22 AM |
| Views | 2 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (HP)
|
100% |
2444
454.6 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4000
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4246
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17116
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18765
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18031
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2736
217.0 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (Q)
|
92% |
2389
190.7 IPS |
|
|
Face Detection (SP)
|
100% |
6698
79.6 IPS |
|
|
Face Detection (HP)
|
100% |
8209
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
6892
81.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12110
93.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13615
104.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
12596
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
29236
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34945
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33949
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6485
239.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6163
227.6 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4028
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
3986
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1025
17.7 IPS |
