MacBook Air (Late 2020)
Geekbench AI Score
3075
Single Precision Score
5403
Half Precision Score
4442
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Ravageeject84 |
| Upload Date | March 26 2026 08:52 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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% |
1307
243.0 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.3 IPS |
|
|
Image Classification (Q)
|
96% |
1573
293.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2514
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6002
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14070
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12115
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1381
109.5 IPS |
|
|
Object Detection (HP)
|
97% |
2401
191.1 IPS |
|
|
Object Detection (Q)
|
94% |
1777
141.7 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5422
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3160
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10428
80.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7371
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16495
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26207
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21854
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3456
127.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4484
165.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2392
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4314
5.76 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
2467
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4677
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4668
80.7 IPS |
