MacBook Air (Late 2020)
Geekbench AI Score
3206
Single Precision Score
5404
Half Precision Score
4411
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kshaikh |
| Upload Date | July 23 2025 02:32 AM |
| Views | 10 |
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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.1 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2508
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
14118
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12091
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1500
118.9 IPS |
|
|
Object Detection (HP)
|
97% |
2391
190.3 IPS |
|
|
Object Detection (Q)
|
94% |
1762
140.4 IPS |
|
|
Face Detection (SP)
|
100% |
2969
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5302
63.0 IPS |
|
|
Face Detection (Q)
|
100% |
3101
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5653
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10417
80.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7358
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16908
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26890
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22271
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3654
134.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4562
168.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3507
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4186
5.59 KIPS |
|
|
Text Classification (Q)
|
93% |
4153
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2517
43.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4524
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4524
78.2 IPS |
