MacBook Air (Late 2020)
Geekbench AI Score
3174
Single Precision Score
5192
Half Precision Score
4346
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | redcasval |
| Upload Date | December 13 2024 10:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
2105
391.5 IPS |
|
|
Image Classification (Q)
|
96% |
1521
284.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2041
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2577
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6473
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13863
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12037
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2359
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1757
140.1 IPS |
|
|
Face Detection (SP)
|
100% |
2947
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
5376
63.9 IPS |
|
|
Face Detection (Q)
|
100% |
3143
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5764
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10898
84.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7581
59.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16627
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25936
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21826
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3712
137.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3362
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4046
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
3984
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2450
42.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3691
63.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4167
72.0 IPS |
