MacBook Air (Late 2020)
Geekbench AI Score
3982
Single Precision Score
4254
Half Precision Score
1509
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | July 24 2025 01:20 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1777
330.5 IPS |
|
|
Image Classification (HP)
|
100% |
1763
327.8 IPS |
|
|
Image Classification (Q)
|
97% |
1693
316.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2346
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3127
50.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3112
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15360
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16465
19.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
14897
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2265
179.7 IPS |
|
|
Object Detection (HP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (Q)
|
92% |
1839
146.8 IPS |
|
|
Face Detection (SP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (HP)
|
100% |
6439
76.5 IPS |
|
|
Face Detection (Q)
|
100% |
4728
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10046
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
10867
83.7 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
67.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26186
33.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30237
38.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28215
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6469
238.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5068
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
958
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
768
1.03 KIPS |
|
|
Text Classification (Q)
|
93% |
725
973.3 IPS |
|
|
Machine Translation (SP)
|
100% |
855
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
868
15.0 IPS |
