MacBook Air (Late 2020)
Geekbench AI Score
591
Single Precision Score
5479
Half Precision Score
4265
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 12:22 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 | 1.82 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
2611
485.5 IPS |
|
|
Image Classification (Q)
|
96% |
2543
475.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
244
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
1976
32.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
146
2.37 IPS |
|
|
Pose Estimation (SP)
|
100% |
1500
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
25940
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26422
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
99% |
2851
226.8 IPS |
|
|
Object Detection (Q)
|
93% |
2676
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
612
7.27 IPS |
|
|
Face Detection (HP)
|
100% |
4851
57.6 IPS |
|
|
Face Detection (Q)
|
100% |
5437
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
20026
154.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
21753
170.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3132
4.03 IPS |
|
|
Style Transfer (HP)
|
100% |
53086
68.2 IPS |
|
|
Style Transfer (Q)
|
96% |
53707
69.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
779
28.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10215
377.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10659
393.6 IPS |
|
|
Text Classification (SP)
|
100% |
152
202.8 IPS |
|
|
Text Classification (HP)
|
100% |
1641
2.19 KIPS |
|
|
Text Classification (Q)
|
93% |
1578
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
711
12.3 IPS |
