MacBook Air (Late 2020)
Geekbench AI Score
3094
Single Precision Score
15588
Half Precision Score
15366
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | August 21 2025 08:10 PM |
| Views | 3 |
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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
6368
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5955
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1268
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9371
151.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9925
160.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6321
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
69050
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66558
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
99% |
7383
587.3 IPS |
|
|
Object Detection (Q)
|
91% |
6625
529.3 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
15181
180.4 IPS |
|
|
Face Detection (Q)
|
100% |
14582
173.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5492
42.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
47299
364.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
48813
381.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16219
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120994
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114963
148.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3590
132.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23442
865.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24514
905.2 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4069
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2448
42.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3360
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3457
59.7 IPS |
