MacBook Air (Late 2020)
Geekbench AI Score
3174
Single Precision Score
5320
Half Precision Score
4372
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | uehashu |
| Upload Date | August 10 2025 02:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.2 IPS |
|
|
Image Classification (HP)
|
100% |
2208
410.6 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2538
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6493
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
14120
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12028
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1491
118.2 IPS |
|
|
Object Detection (HP)
|
97% |
2394
190.6 IPS |
|
|
Object Detection (Q)
|
94% |
1755
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
2917
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5290
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3132
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5645
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10350
80.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7353
57.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16721
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26599
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22048
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3633
134.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4512
166.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3494
129.0 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3975
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
3962
5.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2459
42.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4393
75.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4376
75.6 IPS |
