MacBook Air (Late 2020)
Geekbench AI Score
4615
Single Precision Score
5355
Half Precision Score
4705
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Aquilaarancione09 |
| Upload Date | December 12 2024 09:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.6 IPS |
|
|
Image Classification (Q)
|
97% |
1892
353.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2453
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3281
53.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3317
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15811
18.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16796
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15650
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2411
191.3 IPS |
|
|
Object Detection (HP)
|
100% |
2515
199.5 IPS |
|
|
Object Detection (Q)
|
91% |
2044
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
6446
76.6 IPS |
|
|
Face Detection (HP)
|
100% |
7673
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
5244
62.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10125
78.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11196
86.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9468
74.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27006
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
30797
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
29004
37.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6131
226.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6644
245.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4129
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4146
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
846
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
882
15.2 IPS |
