MacBook Air (Late 2020)
Geekbench AI Score
4042
Single Precision Score
4715
Half Precision Score
4324
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | NathanJohnNJ |
| Upload Date | October 06 2025 07:44 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1749
325.2 IPS |
|
|
Image Classification (HP)
|
100% |
1890
351.5 IPS |
|
|
Image Classification (Q)
|
96% |
1667
311.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2879
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2961
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2780
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10352
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12613
14.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
11410
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1961
155.5 IPS |
|
|
Object Detection (HP)
|
100% |
2156
171.0 IPS |
|
|
Object Detection (Q)
|
92% |
1815
144.9 IPS |
|
|
Face Detection (SP)
|
100% |
4903
58.3 IPS |
|
|
Face Detection (HP)
|
100% |
5505
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
4549
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7494
57.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
9476
73.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8625
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23880
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29250
37.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28366
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5518
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5094
188.1 IPS |
|
|
Text Classification (SP)
|
100% |
1610
2.15 KIPS |
|
|
Text Classification (HP)
|
99% |
2788
3.72 KIPS |
|
|
Text Classification (Q)
|
93% |
2787
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1461
25.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1507
26.0 IPS |
