MacBook Air (Late 2020)
Geekbench AI Score
1938
Single Precision Score
2847
Half Precision Score
2350
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | pacmania1982 |
| Upload Date | August 21 2024 07:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
857
159.3 IPS |
|
|
Image Classification (HP)
|
100% |
1088
202.3 IPS |
|
|
Image Classification (Q)
|
99% |
1082
201.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
816
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
763
12.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
761
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3851
4.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
8941
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7579
8.88 IPS |
|
|
Object Detection (SP)
|
100% |
943
74.8 IPS |
|
|
Object Detection (HP)
|
97% |
1274
101.4 IPS |
|
|
Object Detection (Q)
|
94% |
980
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
1724
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (Q)
|
100% |
1696
20.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3451
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5247
40.5 IPS |
|
|
Depth Estimation (Q)
|
96% |
2600
20.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10583
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16425
21.1 IPS |
|
|
Style Transfer (Q)
|
100% |
16395
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2304
85.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3093
114.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2233
82.7 IPS |
|
|
Text Classification (SP)
|
100% |
1532
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2435
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1327
22.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2144
37.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2138
36.9 IPS |
