MacBook Air (Late 2020)
Geekbench AI Score
2580
Single Precision Score
4054
Half Precision Score
3289
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:20 PM |
| Views | 3 |
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 | 3.01 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
998
185.6 IPS |
|
|
Image Classification (HP)
|
100% |
1225
227.9 IPS |
|
|
Image Classification (Q)
|
99% |
1135
211.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
817
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
938
15.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4531
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
11489
13.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
10362
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (HP)
|
97% |
1938
154.2 IPS |
|
|
Object Detection (Q)
|
94% |
1503
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
2296
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2564
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5035
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8125
62.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4018
31.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15124
19.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24582
31.6 IPS |
|
|
Style Transfer (Q)
|
100% |
23762
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3171
117.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4685
173.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3359
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3499
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2046
35.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3085
53.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3109
53.7 IPS |
