MacBook Air (Late 2020)
Geekbench AI Score
3219
Single Precision Score
5270
Half Precision Score
4395
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | purity |
| Upload Date | January 01 2025 12:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2201
409.4 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1379
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2599
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6517
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13987
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12070
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1514
120.1 IPS |
|
|
Object Detection (HP)
|
97% |
2431
193.5 IPS |
|
|
Object Detection (Q)
|
94% |
1792
142.8 IPS |
|
|
Face Detection (SP)
|
100% |
3017
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11086
85.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7655
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16707
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25933
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21834
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4428
163.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4012
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
3985
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2496
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3666
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4275
73.9 IPS |
