MacBook Air (Late 2020)
Geekbench AI Score
469
Single Precision Score
5025
Half Precision Score
3882
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 06 2024 12:47 PM |
| Views | 2 |
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 | 1.64 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
463
86.0 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.2 IPS |
|
|
Image Classification (Q)
|
96% |
2512
469.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
146
2.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
141
2.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
1204
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
24858
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24278
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
99% |
2912
231.7 IPS |
|
|
Object Detection (Q)
|
93% |
2606
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
503
5.98 IPS |
|
|
Face Detection (HP)
|
100% |
5658
67.2 IPS |
|
|
Face Detection (Q)
|
100% |
4380
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
713
5.49 IPS |
|
|
Depth Estimation (HP)
|
99% |
17810
137.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
20826
162.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2012
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
43797
56.3 IPS |
|
|
Style Transfer (Q)
|
96% |
49791
64.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
752
27.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7288
269.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8585
317.0 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.4 IPS |
|
|
Text Classification (HP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
93% |
1378
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
646
11.2 IPS |
