MacBook Air (Late 2020)
Geekbench AI Score
668
Single Precision Score
1023
Half Precision Score
887
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 29 2024 12:02 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 1.63 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
330
61.3 IPS |
|
|
Image Classification (HP)
|
100% |
415
77.2 IPS |
|
|
Image Classification (Q)
|
96% |
354
66.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
405
6.57 IPS |
|
|
Pose Estimation (SP)
|
100% |
1207
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2966
3.46 IPS |
|
|
Pose Estimation (Q)
|
95% |
3662
4.29 IPS |
|
|
Object Detection (SP)
|
100% |
496
39.3 IPS |
|
|
Object Detection (HP)
|
97% |
805
64.1 IPS |
|
|
Object Detection (Q)
|
94% |
402
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
839
9.97 IPS |
|
|
Face Detection (HP)
|
100% |
1104
13.1 IPS |
|
|
Face Detection (Q)
|
100% |
643
7.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
1421
10.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
1467
11.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
1328
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2569
3.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4361
5.61 IPS |
|
|
Style Transfer (Q)
|
96% |
4261
5.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
549
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
410
547.7 IPS |
|
|
Text Classification (HP)
|
100% |
791
1.06 KIPS |
|
|
Text Classification (Q)
|
93% |
752
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (HP)
|
98% |
921
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
