MacBook Air (Late 2020)
Geekbench AI Score
2843
Single Precision Score
4266
Half Precision Score
3568
Quantized Score
Geekbench AI 1.0.0 Corporate for macOS AArch64
Result Information
| Upload Date | August 11 2024 08:41 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1323
246.1 IPS |
|
|
Image Classification (HP)
|
100% |
1699
315.9 IPS |
|
|
Image Classification (Q)
|
99% |
1693
315.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1162
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1156
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5849
6.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
13513
15.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
11561
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1406
111.5 IPS |
|
|
Object Detection (HP)
|
97% |
1960
156.0 IPS |
|
|
Object Detection (Q)
|
94% |
1532
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2654
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5258
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
8233
63.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4027
31.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15589
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
24657
31.7 IPS |
|
|
Style Transfer (Q)
|
100% |
24691
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3365
124.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4232
156.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3351
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
2271
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3550
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1797
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3069
53.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3076
53.2 IPS |
