MacBook Air (Late 2020)
Geekbench AI Score
3197
Single Precision Score
15971
Half Precision Score
15635
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | gumieProf |
| Upload Date | April 23 2025 06:33 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1409
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
6347
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5991
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9721
157.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10078
163.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6477
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
69175
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66745
78.2 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
99% |
7223
574.6 IPS |
|
|
Object Detection (Q)
|
91% |
6674
533.3 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
16855
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
15706
186.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
48106
370.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
48635
380.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16852
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122615
157.6 IPS |
|
|
Style Transfer (Q)
|
96% |
115241
148.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3684
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23529
868.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24115
890.5 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4117
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4097
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3638
62.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3732
64.5 IPS |
