MacBook Air (Late 2020)
Geekbench AI Score
3204
Single Precision Score
5356
Half Precision Score
4414
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 12 2025 04:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
2221
413.1 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1355
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2529
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6485
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14223
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12209
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1505
119.3 IPS |
|
|
Object Detection (HP)
|
97% |
2402
191.2 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5326
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
3139
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10438
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7370
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16958
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26945
34.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22323
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4505
166.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3499
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3991
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3977
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4485
77.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4496
77.7 IPS |
