MacBook Air (Late 2020)
Geekbench AI Score
2943
Single Precision Score
4961
Half Precision Score
4054
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 28 2024 04:26 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1325
246.5 IPS |
|
|
Image Classification (HP)
|
100% |
1988
369.7 IPS |
|
|
Image Classification (Q)
|
96% |
1515
283.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1923
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2357
38.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5302
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
12918
15.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11175
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1363
108.1 IPS |
|
|
Object Detection (HP)
|
97% |
2271
180.8 IPS |
|
|
Object Detection (Q)
|
94% |
1680
133.9 IPS |
|
|
Face Detection (SP)
|
100% |
2787
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
2805
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5174
39.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10734
83.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7207
56.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14554
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22721
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20146
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3335
123.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4447
164.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3052
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4040
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4000
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3353
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3603
62.3 IPS |
