MacBook Air (Late 2020)
Geekbench AI Score
478
Single Precision Score
5855
Half Precision Score
4556
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 17 2024 11:53 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 2.76 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
702
130.6 IPS |
|
|
Image Classification (HP)
|
100% |
6232
1.16 KIPS |
|
|
Image Classification (Q)
|
96% |
4738
884.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
240
3.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
3122
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
147
2.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
866
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
21677
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36460
42.7 IPS |
|
|
Object Detection (SP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
4267
339.5 IPS |
|
|
Object Detection (Q)
|
93% |
2336
186.4 IPS |
|
|
Face Detection (SP)
|
100% |
721
8.56 IPS |
|
|
Face Detection (HP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
5984
71.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
456
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
17301
133.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21919
171.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1765
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
46693
60.0 IPS |
|
|
Style Transfer (Q)
|
96% |
49832
64.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6814
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9252
341.6 IPS |
|
|
Text Classification (SP)
|
100% |
139
185.7 IPS |
|
|
Text Classification (HP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1533
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
293
5.04 IPS |
|
|
Machine Translation (HP)
|
100% |
697
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
702
12.1 IPS |
