MacBook Air (Late 2020)
Geekbench AI Score
3230
Single Precision Score
5369
Half Precision Score
4403
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | attibug |
| Upload Date | March 19 2025 01:30 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (HP)
|
100% |
2175
404.4 IPS |
|
|
Image Classification (Q)
|
96% |
1564
292.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1388
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2588
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6520
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13915
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12057
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.6 IPS |
|
|
Object Detection (HP)
|
97% |
2422
192.8 IPS |
|
|
Object Detection (Q)
|
94% |
1790
142.6 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5501
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5799
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11025
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7660
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16799
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26335
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21865
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4717
174.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3380
124.8 IPS |
|
|
Text Classification (SP)
|
100% |
2340
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4093
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2522
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4045
69.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4209
72.7 IPS |
