MacBook Air (Late 2020)
Geekbench AI Score
2842
Single Precision Score
4276
Half Precision Score
3698
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | torcken |
| Upload Date | July 01 2025 01:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.6 (Build 23H626) |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (Q)
|
96% |
1276
238.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1144
18.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1656
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5863
6.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
13545
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11709
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1397
110.8 IPS |
|
|
Object Detection (HP)
|
97% |
1943
154.7 IPS |
|
|
Object Detection (Q)
|
94% |
1513
120.6 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4019
47.8 IPS |
|
|
Face Detection (Q)
|
100% |
2600
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5229
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8168
63.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6155
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15567
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24789
31.9 IPS |
|
|
Style Transfer (Q)
|
96% |
20766
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3374
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4319
159.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3416
126.1 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3696
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3070
53.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3048
52.7 IPS |
