MacBook Air (Late 2020)
Geekbench AI Score
5174
Single Precision Score
5954
Half Precision Score
5558
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | urgui |
| Upload Date | May 08 2025 09:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2168
403.2 IPS |
|
|
Image Classification (HP)
|
100% |
2235
415.7 IPS |
|
|
Image Classification (Q)
|
96% |
2209
412.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3988
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4240
68.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4078
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17272
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18827
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18017
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
2692
213.5 IPS |
|
|
Object Detection (Q)
|
92% |
2382
190.1 IPS |
|
|
Face Detection (SP)
|
100% |
6650
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
8215
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
6932
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12185
93.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
13585
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12562
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29186
37.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35000
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33926
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6489
239.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7267
268.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6229
230.0 IPS |
|
|
Text Classification (SP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4066
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1000
17.3 IPS |
