MacBook Air (Late 2020)
Geekbench AI Score
4062
Single Precision Score
4419
Half Precision Score
3707
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jcpenni |
| Upload Date | August 15 2024 09:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1956
363.7 IPS |
|
|
Image Classification (HP)
|
100% |
1821
338.6 IPS |
|
|
Image Classification (Q)
|
99% |
1812
338.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2384
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
3074
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15394
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16487
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14816
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2312
183.4 IPS |
|
|
Object Detection (HP)
|
100% |
2410
191.1 IPS |
|
|
Object Detection (Q)
|
92% |
1876
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
6102
72.5 IPS |
|
|
Face Detection (HP)
|
100% |
6943
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
4992
59.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10432
80.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11501
88.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11750
90.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26887
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
30597
39.3 IPS |
|
|
Style Transfer (Q)
|
100% |
30340
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6297
232.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7237
267.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5233
193.9 IPS |
|
|
Text Classification (SP)
|
100% |
752
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
720
961.6 IPS |
|
|
Text Classification (Q)
|
93% |
359
482.1 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
948
16.4 IPS |
