MacBook Air (Late 2020)
Geekbench AI Score
478
Single Precision Score
5449
Half Precision Score
4096
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 31 2024 10:44 AM |
| 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 | 1.08 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
187
34.8 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.2 IPS |
|
|
Image Classification (Q)
|
96% |
2222
415.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
117
1.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1762
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.26 IPS |
|
|
Pose Estimation (SP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
26576
31.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
25925
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (HP)
|
99% |
2944
234.2 IPS |
|
|
Object Detection (Q)
|
93% |
2639
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
618
7.34 IPS |
|
|
Face Detection (HP)
|
100% |
5007
59.5 IPS |
|
|
Face Detection (Q)
|
100% |
5623
66.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
991
7.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
21808
168.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20601
161.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2851
3.67 IPS |
|
|
Style Transfer (HP)
|
100% |
58294
74.9 IPS |
|
|
Style Transfer (Q)
|
96% |
57893
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
788
29.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9616
355.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8758
323.4 IPS |
|
|
Text Classification (SP)
|
100% |
159
212.1 IPS |
|
|
Text Classification (HP)
|
100% |
1539
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1539
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
402
6.93 IPS |
|
|
Machine Translation (HP)
|
100% |
695
12.0 IPS |
|
|
Machine Translation (Q)
|
98% |
692
12.0 IPS |
