MacBook Air (Late 2020)
Geekbench AI Score
4190
Single Precision Score
4209
Half Precision Score
3823
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | NuclearNotebook |
| Upload Date | August 18 2024 07:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1769
329.0 IPS |
|
|
Image Classification (HP)
|
100% |
1913
355.7 IPS |
|
|
Image Classification (Q)
|
99% |
1882
351.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2523
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3166
51.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
3123
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15424
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16432
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14699
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2200
174.5 IPS |
|
|
Object Detection (HP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (Q)
|
92% |
1857
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
5995
71.2 IPS |
|
|
Face Detection (HP)
|
100% |
6663
79.2 IPS |
|
|
Face Detection (Q)
|
100% |
4793
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9988
77.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10903
84.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
10981
84.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26510
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
30202
38.8 IPS |
|
|
Style Transfer (Q)
|
100% |
29932
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5925
218.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6551
241.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5006
185.5 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
571
761.9 IPS |
|
|
Text Classification (Q)
|
93% |
567
760.5 IPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (Q)
|
98% |
930
16.1 IPS |
