MacBook Air (Late 2020)
Geekbench AI Score
3220
Single Precision Score
5299
Half Precision Score
4395
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | November 09 2024 07:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1407
261.6 IPS |
|
|
Image Classification (HP)
|
100% |
2193
407.9 IPS |
|
|
Image Classification (Q)
|
96% |
1568
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2603
42.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6531
7.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
13928
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12038
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1518
120.4 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1788
142.5 IPS |
|
|
Face Detection (SP)
|
100% |
2988
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5434
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
3156
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5784
44.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11074
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7672
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16751
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26157
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21867
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3732
137.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4385
161.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3365
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4112
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2503
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3821
66.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4292
74.2 IPS |
