MacBook Air (Late 2020)
Geekbench AI Score
3217
Single Precision Score
5378
Half Precision Score
4435
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | OXO |
| Upload Date | August 23 2025 09:00 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1425
265.0 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
96% |
1584
295.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1361
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2547
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6494
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14250
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12228
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1506
119.4 IPS |
|
|
Object Detection (HP)
|
97% |
2422
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1793
142.9 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5358
63.7 IPS |
|
|
Face Detection (Q)
|
100% |
3180
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5674
43.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10501
81.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7398
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16982
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26998
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22408
28.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3703
136.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3500
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2509
43.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4516
78.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4506
77.9 IPS |
