MacBook Air (Late 2020)
Geekbench AI Score
3208
Single Precision Score
5361
Half Precision Score
4725
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | petebu |
| Upload Date | May 17 2025 01:16 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1407
261.7 IPS |
|
|
Image Classification (HP)
|
100% |
2203
409.7 IPS |
|
|
Image Classification (Q)
|
99% |
2211
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
2112
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6509
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14214
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12045
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.3 IPS |
|
|
Object Detection (Q)
|
94% |
1780
141.9 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5309
63.1 IPS |
|
|
Face Detection (Q)
|
100% |
3102
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5669
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10384
80.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
10371
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16941
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26895
34.6 IPS |
|
|
Style Transfer (Q)
|
100% |
26908
34.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3681
135.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4553
168.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3497
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
3992
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2546
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4590
79.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4590
79.3 IPS |
