MacBook Air (Late 2020)
Geekbench AI Score
1765
Single Precision Score
12728
Half Precision Score
10431
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | nagolmas |
| Upload Date | March 27 2025 07:27 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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% |
975
181.3 IPS |
|
|
Image Classification (HP)
|
100% |
6600
1.23 KIPS |
|
|
Image Classification (Q)
|
96% |
5872
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4261
69.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
521
8.45 IPS |
|
|
Pose Estimation (SP)
|
100% |
5645
6.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68593
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
66944
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1067
84.6 IPS |
|
|
Object Detection (HP)
|
99% |
7322
582.5 IPS |
|
|
Object Detection (Q)
|
93% |
6825
544.6 IPS |
|
|
Face Detection (SP)
|
100% |
1751
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
12221
145.2 IPS |
|
|
Face Detection (Q)
|
100% |
12992
154.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3242
25.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
46536
358.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
53902
421.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9736
12.5 IPS |
|
|
Style Transfer (HP)
|
100% |
120062
154.3 IPS |
|
|
Style Transfer (Q)
|
96% |
116235
150.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2495
92.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18842
695.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21688
800.8 IPS |
|
|
Text Classification (SP)
|
100% |
416
555.8 IPS |
|
|
Text Classification (HP)
|
100% |
2635
3.52 KIPS |
|
|
Text Classification (Q)
|
93% |
2665
3.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1356
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2332
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2321
40.1 IPS |
