MacBook Air (Late 2020)
Geekbench AI Score
3206
Single Precision Score
14770
Half Precision Score
14434
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | fridriksa |
| Upload Date | July 12 2025 07:47 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6107
1.14 KIPS |
|
|
Image Classification (Q)
|
96% |
5916
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8820
143.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9064
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6501
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
67266
78.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
64230
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1502
119.1 IPS |
|
|
Object Detection (HP)
|
99% |
6899
548.8 IPS |
|
|
Object Detection (Q)
|
91% |
6603
527.6 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
13799
164.0 IPS |
|
|
Face Detection (Q)
|
100% |
12589
149.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5657
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
45390
349.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
46026
359.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16913
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120803
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114403
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3671
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24039
887.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23923
883.4 IPS |
|
|
Text Classification (SP)
|
100% |
2287
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3953
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2572
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2751
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2791
48.2 IPS |
