MacBook Air (Late 2020)
Geekbench AI Score
2844
Single Precision Score
4291
Half Precision Score
3724
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | inn |
| Upload Date | April 08 2025 11:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1319
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
1705
317.0 IPS |
|
|
Image Classification (Q)
|
96% |
1290
240.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1168
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1681
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5850
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13554
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11719
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.4 IPS |
|
|
Object Detection (HP)
|
97% |
1953
155.5 IPS |
|
|
Object Detection (Q)
|
94% |
1528
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3966
47.1 IPS |
|
|
Face Detection (Q)
|
100% |
2639
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5227
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8229
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6206
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15623
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24724
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20903
27.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3380
124.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4398
162.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3414
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3691
4.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3659
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3091
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3091
53.4 IPS |
