MacBook Air (Late 2020)
Geekbench AI Score
3229
Single Precision Score
15993
Half Precision Score
15540
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 01:37 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
6455
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6038
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1391
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9796
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10117
164.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
69177
80.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66036
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7224
574.7 IPS |
|
|
Object Detection (Q)
|
91% |
6686
534.3 IPS |
|
|
Face Detection (SP)
|
100% |
3034
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
16858
200.3 IPS |
|
|
Face Detection (Q)
|
100% |
14773
175.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5790
44.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48162
371.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
48748
380.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16975
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122756
157.8 IPS |
|
|
Style Transfer (Q)
|
96% |
115761
149.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23614
872.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24225
894.5 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4022
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
4026
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3747
64.7 IPS |
