MacBook Air (Late 2020)
Geekbench AI Score
3175
Single Precision Score
15393
Half Precision Score
15145
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | redcasval |
| Upload Date | December 13 2024 10:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1367
254.2 IPS |
|
|
Image Classification (HP)
|
100% |
6067
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5707
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9501
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9807
159.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6503
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
68524
80.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
65504
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1496
118.7 IPS |
|
|
Object Detection (HP)
|
99% |
7015
558.0 IPS |
|
|
Object Detection (Q)
|
91% |
6450
515.4 IPS |
|
|
Face Detection (SP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
15642
185.9 IPS |
|
|
Face Detection (Q)
|
100% |
14641
174.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5734
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
47259
364.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
48333
377.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16556
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
120981
155.5 IPS |
|
|
Style Transfer (Q)
|
96% |
114864
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3718
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23965
884.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25057
925.2 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4039
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2486
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3140
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3265
56.4 IPS |
