MacBook Air (Late 2020)
Geekbench AI Score
3080
Single Precision Score
5413
Half Precision Score
4443
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | alvinb |
| Upload Date | December 02 2025 02:07 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1295
240.9 IPS |
|
|
Image Classification (HP)
|
100% |
2229
414.5 IPS |
|
|
Image Classification (Q)
|
96% |
1584
295.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1311
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6000
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
14120
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12144
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1390
110.3 IPS |
|
|
Object Detection (HP)
|
97% |
2404
191.4 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2964
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3179
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5440
41.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10418
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7359
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16463
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26218
33.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21890
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3461
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4532
167.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3497
129.1 IPS |
|
|
Text Classification (SP)
|
100% |
2395
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4237
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4124
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4679
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4673
80.8 IPS |
