MacBook Air (Late 2020)
Geekbench AI Score
1910
Single Precision Score
2801
Half Precision Score
2319
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | zachking |
| Upload Date | August 17 2024 09:48 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 | 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% |
844
157.0 IPS |
|
|
Image Classification (HP)
|
100% |
1083
201.4 IPS |
|
|
Image Classification (Q)
|
99% |
1068
199.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
803
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
755
12.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
751
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3835
4.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
8871
10.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
7484
8.77 IPS |
|
|
Object Detection (SP)
|
100% |
926
73.4 IPS |
|
|
Object Detection (HP)
|
97% |
1263
100.5 IPS |
|
|
Object Detection (Q)
|
94% |
962
76.7 IPS |
|
|
Face Detection (SP)
|
100% |
1734
20.6 IPS |
|
|
Face Detection (HP)
|
100% |
2628
31.2 IPS |
|
|
Face Detection (Q)
|
100% |
1678
19.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3398
26.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5151
39.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
2585
20.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10469
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
16196
20.8 IPS |
|
|
Style Transfer (Q)
|
100% |
16125
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2282
84.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2161
80.1 IPS |
|
|
Text Classification (SP)
|
100% |
1530
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2464
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2455
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1251
21.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2109
36.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2101
36.3 IPS |
