MacBook Air (Late 2020)
Geekbench AI Score
3156
Single Precision Score
15288
Half Precision Score
14962
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 12 2025 01:06 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
5983
1.11 KIPS |
|
|
Image Classification (Q)
|
96% |
5682
1.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9468
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9692
157.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6419
7.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
68834
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
65929
77.3 IPS |
|
|
Object Detection (SP)
|
100% |
1479
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
6967
554.2 IPS |
|
|
Object Detection (Q)
|
91% |
6424
513.3 IPS |
|
|
Face Detection (SP)
|
100% |
2877
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
15587
185.2 IPS |
|
|
Face Detection (Q)
|
100% |
14258
169.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5673
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46713
359.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
47272
369.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16519
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
120038
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
114779
148.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3693
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23658
873.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24480
903.9 IPS |
|
|
Text Classification (SP)
|
100% |
2347
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4105
5.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4074
5.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2430
41.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3025
52.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3126
54.0 IPS |
