MacBook Air (Late 2020)
Geekbench AI Score
3203
Single Precision Score
15963
Half Precision Score
15434
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 04:48 PM |
| 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% |
1411
262.5 IPS |
|
|
Image Classification (HP)
|
100% |
6346
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6004
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1347
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9719
157.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10034
162.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6512
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
68768
80.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67083
78.6 IPS |
|
|
Object Detection (SP)
|
100% |
1500
118.9 IPS |
|
|
Object Detection (HP)
|
99% |
7254
577.0 IPS |
|
|
Object Detection (Q)
|
91% |
6888
550.4 IPS |
|
|
Face Detection (SP)
|
100% |
2998
35.6 IPS |
|
|
Face Detection (HP)
|
100% |
16833
200.0 IPS |
|
|
Face Detection (Q)
|
100% |
13241
157.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5660
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48571
374.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49395
386.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16984
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122385
157.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115818
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3678
135.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23706
875.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24174
892.6 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3998
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2505
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3668
63.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3764
65.1 IPS |
