MacBook Air (Late 2020)
Geekbench AI Score
395
Single Precision Score
5751
Half Precision Score
4330
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 17 2024 05:11 AM |
| Views | 3 |
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 | 1.51 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
220
41.0 IPS |
|
|
Image Classification (HP)
|
100% |
2840
528.1 IPS |
|
|
Image Classification (Q)
|
96% |
2588
483.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
144
2.33 IPS |
|
|
Image Segmentation (HP)
|
100% |
1927
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
130
2.11 IPS |
|
|
Pose Estimation (SP)
|
100% |
1605
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
26730
31.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
26233
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
187
14.9 IPS |
|
|
Object Detection (HP)
|
99% |
2946
234.3 IPS |
|
|
Object Detection (Q)
|
93% |
2677
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
421
5.00 IPS |
|
|
Face Detection (HP)
|
100% |
5765
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
5495
65.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
639
4.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
20039
154.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21267
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2035
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
52713
67.8 IPS |
|
|
Style Transfer (Q)
|
96% |
50159
64.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
551
20.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8357
308.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9298
343.3 IPS |
|
|
Text Classification (SP)
|
100% |
107
143.4 IPS |
|
|
Text Classification (HP)
|
100% |
1666
2.22 KIPS |
|
|
Text Classification (Q)
|
93% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
304
5.23 IPS |
|
|
Machine Translation (HP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1151
19.9 IPS |
