MacBook Air (Late 2020)
Geekbench AI Score
461
Single Precision Score
5370
Half Precision Score
4367
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.59 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
2860
531.9 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
162
2.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
1922
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1198
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
28282
33.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
32311
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (HP)
|
99% |
2929
233.0 IPS |
|
|
Object Detection (Q)
|
93% |
4687
373.9 IPS |
|
|
Face Detection (SP)
|
100% |
517
6.15 IPS |
|
|
Face Detection (HP)
|
100% |
5602
66.6 IPS |
|
|
Face Detection (Q)
|
100% |
5308
63.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
835
6.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
19524
150.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
20701
161.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2134
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
53412
68.7 IPS |
|
|
Style Transfer (Q)
|
96% |
49966
64.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
740
27.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7621
281.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8964
331.0 IPS |
|
|
Text Classification (SP)
|
100% |
129
172.6 IPS |
|
|
Text Classification (HP)
|
100% |
1492
1.99 KIPS |
|
|
Text Classification (Q)
|
93% |
1534
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
98% |
634
11.0 IPS |
