MacBook Air (Late 2020)
Geekbench AI Score
3186
Single Precision Score
16009
Half Precision Score
15731
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | huntz |
| Upload Date | October 12 2025 08:02 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 3.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
6392
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
6039
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1351
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10053
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6472
7.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
69252
80.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
66667
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
99% |
7274
578.6 IPS |
|
|
Object Detection (Q)
|
91% |
6910
552.2 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16844
200.1 IPS |
|
|
Face Detection (Q)
|
100% |
15380
182.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5682
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
48878
376.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
50638
395.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16900
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122103
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115501
149.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3694
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23745
876.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24333
898.5 IPS |
|
|
Text Classification (SP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4025
5.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2384
41.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3635
62.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3767
65.1 IPS |
