MacBook Air (Late 2020)
Geekbench AI Score
521
Single Precision Score
5521
Half Precision Score
4010
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 09:10 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (Q)
|
96% |
2572
480.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
147
2.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
1858
30.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
116
1.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
1709
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
33059
38.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
32222
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
366
29.0 IPS |
|
|
Object Detection (HP)
|
99% |
3408
271.1 IPS |
|
|
Object Detection (Q)
|
93% |
2798
223.3 IPS |
|
|
Face Detection (SP)
|
100% |
557
6.62 IPS |
|
|
Face Detection (HP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
5573
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
959
7.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
20947
161.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
19584
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2563
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
39929
51.3 IPS |
|
|
Style Transfer (Q)
|
96% |
50094
64.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8870
327.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9075
335.1 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.8 IPS |
|
|
Text Classification (HP)
|
100% |
1832
2.44 KIPS |
|
|
Text Classification (Q)
|
93% |
1535
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
565
9.74 IPS |
|
|
Machine Translation (Q)
|
98% |
526
9.08 IPS |
