MacBook Air (Late 2020)
Geekbench AI Score
3239
Single Precision Score
5309
Half Precision Score
4417
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aquilaarancione09 |
| Upload Date | December 12 2024 09:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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% |
1408
261.8 IPS |
|
|
Image Classification (HP)
|
100% |
2199
409.0 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2604
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13920
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12060
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1522
120.7 IPS |
|
|
Object Detection (HP)
|
97% |
2439
194.2 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3049
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5569
66.2 IPS |
|
|
Face Detection (Q)
|
100% |
3222
38.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5812
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11109
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7698
60.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16779
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
25594
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21960
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3748
138.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4437
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3353
123.8 IPS |
|
|
Text Classification (SP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
4109
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3824
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4263
73.7 IPS |
