MacBook Air (Late 2020)
Geekbench AI Score
306
Single Precision Score
3549
Half Precision Score
2838
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 09:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 1.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
127
23.6 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.2 IPS |
|
|
Image Classification (Q)
|
96% |
1954
364.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1874
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
90
1.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
826
0.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16259
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
18424
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
163
13.0 IPS |
|
|
Object Detection (HP)
|
99% |
2094
166.5 IPS |
|
|
Object Detection (Q)
|
93% |
2214
176.7 IPS |
|
|
Face Detection (SP)
|
100% |
385
4.58 IPS |
|
|
Face Detection (HP)
|
100% |
4206
50.0 IPS |
|
|
Face Detection (Q)
|
100% |
5052
60.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
572
4.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
12170
93.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
15145
118.4 IPS |
|
|
Style Transfer (SP)
|
100% |
1707
2.19 IPS |
|
|
Style Transfer (HP)
|
100% |
31822
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31415
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
462
17.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4759
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5728
211.5 IPS |
|
|
Text Classification (SP)
|
100% |
61
81.7 IPS |
|
|
Text Classification (HP)
|
100% |
687
917.6 IPS |
|
|
Text Classification (Q)
|
93% |
810
1.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (Q)
|
98% |
424
7.32 IPS |
