MacBook Air (Late 2020)
Geekbench AI Score
379
Single Precision Score
4748
Half Precision Score
3647
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 01:37 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 | 1.03 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
2192
407.7 IPS |
|
|
Image Classification (Q)
|
96% |
2153
402.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
103
1.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
1182
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
25464
29.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32231
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (HP)
|
99% |
2962
235.6 IPS |
|
|
Object Detection (Q)
|
93% |
2425
193.5 IPS |
|
|
Face Detection (SP)
|
100% |
458
5.44 IPS |
|
|
Face Detection (HP)
|
100% |
5415
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
5895
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
671
5.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
17823
137.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
17738
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
1967
2.53 IPS |
|
|
Style Transfer (HP)
|
100% |
41035
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
40573
52.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
524
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6499
240.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6559
242.2 IPS |
|
|
Text Classification (SP)
|
100% |
79
105.9 IPS |
|
|
Text Classification (HP)
|
100% |
1215
1.62 KIPS |
|
|
Text Classification (Q)
|
93% |
1159
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
98% |
564
9.74 IPS |
