MacBook Air (Late 2020)
Geekbench AI Score
3207
Single Precision Score
16030
Half Precision Score
15748
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1385
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
6426
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6045
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9742
157.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
10034
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
69088
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66115
77.5 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.3 IPS |
|
|
Object Detection (HP)
|
99% |
7287
579.6 IPS |
|
|
Object Detection (Q)
|
91% |
6947
555.1 IPS |
|
|
Face Detection (SP)
|
100% |
2996
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16743
198.9 IPS |
|
|
Face Detection (Q)
|
100% |
15614
185.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5775
44.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
48874
376.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
49718
388.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16603
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
122330
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116098
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24030
887.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24498
904.6 IPS |
|
|
Text Classification (SP)
|
100% |
2323
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4034
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2461
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3664
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3802
65.7 IPS |
