MacBook Air (Late 2020)
Geekbench AI Score
3221
Single Precision Score
5301
Half Precision Score
4392
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | dipsan |
| Upload Date | February 16 2025 02:54 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
1390
258.5 IPS |
|
|
Image Classification (HP)
|
100% |
2179
405.2 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1390
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2589
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6508
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13952
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12062
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2423
192.9 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5556
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
3201
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11072
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7678
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16795
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26107
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21876
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3735
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4423
163.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3375
124.6 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4054
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
3978
5.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
2491
42.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3786
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4244
73.3 IPS |
