MacBook Air (Late 2020)
Geekbench AI Score
527
Single Precision Score
5774
Half Precision Score
4481
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 29 2024 12:14 PM |
| Views | 2 |
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 | 1.63 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.7 IPS |
|
|
Image Classification (Q)
|
96% |
2503
467.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
1671
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
143
2.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
26795
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
21443
25.1 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
99% |
2618
208.3 IPS |
|
|
Object Detection (Q)
|
93% |
2240
178.8 IPS |
|
|
Face Detection (SP)
|
100% |
498
5.91 IPS |
|
|
Face Detection (HP)
|
100% |
5158
61.3 IPS |
|
|
Face Detection (Q)
|
100% |
5464
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1000
7.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
19691
151.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
22659
177.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2830
3.64 IPS |
|
|
Style Transfer (HP)
|
100% |
64170
82.5 IPS |
|
|
Style Transfer (Q)
|
96% |
68290
88.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
888
32.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11085
409.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12389
457.5 IPS |
|
|
Text Classification (SP)
|
100% |
270
360.2 IPS |
|
|
Text Classification (HP)
|
100% |
1870
2.50 KIPS |
|
|
Text Classification (Q)
|
93% |
1870
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
923
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
971
16.8 IPS |
