MacBook Air (Late 2020)
Geekbench AI Score
2402
Single Precision Score
3602
Half Precision Score
3379
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | lhi0828 |
| Upload Date | September 17 2024 03:49 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 2.88 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
719
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.3 IPS |
|
|
Image Classification (Q)
|
96% |
947
176.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1573
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5342
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
12335
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
10816
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
97% |
1807
143.8 IPS |
|
|
Object Detection (Q)
|
94% |
1423
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
3755
44.6 IPS |
|
|
Face Detection (Q)
|
100% |
2467
29.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4804
37.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
7684
59.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5830
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14465
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
22724
29.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19457
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3087
114.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4081
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3157
116.6 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3387
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3345
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1673
28.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2879
49.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2868
49.6 IPS |
