MacBook Air (Late 2020)
Geekbench AI Score
493
Single Precision Score
5402
Half Precision Score
4295
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 04:42 AM |
| 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 | 1.82 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (HP)
|
100% |
2815
523.5 IPS |
|
|
Image Classification (Q)
|
96% |
2572
480.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
153
2.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
1931
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
137
2.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
1321
1.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
26900
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
25970
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
2877
228.9 IPS |
|
|
Object Detection (Q)
|
93% |
2806
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
5773
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
6115
72.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
851
6.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
19667
151.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20404
159.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2365
3.04 IPS |
|
|
Style Transfer (HP)
|
100% |
48051
61.8 IPS |
|
|
Style Transfer (Q)
|
96% |
49864
64.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
736
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8108
299.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9268
342.2 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.0 IPS |
|
|
Text Classification (HP)
|
100% |
1651
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1608
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
434
7.47 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
898
15.5 IPS |
