MacBook Air (Late 2020)
Geekbench AI Score
405
Single Precision Score
5295
Half Precision Score
4118
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 17 2024 11:59 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.2 (Build 23H311) |
| 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 | 1.58 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (HP)
|
100% |
2809
522.4 IPS |
|
|
Image Classification (Q)
|
96% |
2522
471.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
1880
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
124
2.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
1512
1.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
31203
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
31894
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
99% |
3501
278.5 IPS |
|
|
Object Detection (Q)
|
93% |
3273
261.2 IPS |
|
|
Face Detection (SP)
|
100% |
617
7.33 IPS |
|
|
Face Detection (HP)
|
100% |
5871
69.8 IPS |
|
|
Face Detection (Q)
|
100% |
6716
79.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
783
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
16208
124.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
18932
147.9 IPS |
|
|
Style Transfer (SP)
|
100% |
1713
2.20 IPS |
|
|
Style Transfer (HP)
|
100% |
46401
59.6 IPS |
|
|
Style Transfer (Q)
|
96% |
47655
61.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8509
314.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8530
315.0 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.0 IPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
93% |
1503
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
302
5.19 IPS |
|
|
Machine Translation (HP)
|
100% |
592
10.2 IPS |
|
|
Machine Translation (Q)
|
98% |
553
9.56 IPS |
