MacBook Air (Late 2020)
Geekbench AI Score
374
Single Precision Score
5428
Half Precision Score
4102
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | February 15 2025 02:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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 | 1.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
213
39.6 IPS |
|
|
Image Classification (HP)
|
100% |
2882
536.0 IPS |
|
|
Image Classification (Q)
|
96% |
2569
479.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
126
2.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
122
1.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
1009
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
26906
31.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
26109
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
188
14.9 IPS |
|
|
Object Detection (HP)
|
99% |
2956
235.1 IPS |
|
|
Object Detection (Q)
|
93% |
2819
224.9 IPS |
|
|
Face Detection (SP)
|
100% |
449
5.33 IPS |
|
|
Face Detection (HP)
|
100% |
5247
62.3 IPS |
|
|
Face Detection (Q)
|
100% |
5345
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
609
4.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
19867
153.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21717
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1762
2.27 IPS |
|
|
Style Transfer (HP)
|
100% |
51776
66.6 IPS |
|
|
Style Transfer (Q)
|
96% |
50243
64.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8517
314.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9464
349.5 IPS |
|
|
Text Classification (SP)
|
100% |
157
209.3 IPS |
|
|
Text Classification (HP)
|
100% |
1535
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1521
2.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
255
4.39 IPS |
|
|
Machine Translation (HP)
|
100% |
706
12.2 IPS |
|
|
Machine Translation (Q)
|
98% |
698
12.1 IPS |
