MacBook Air (Late 2020)
Geekbench AI Score
2845
Single Precision Score
4309
Half Precision Score
3726
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | inn |
| Upload Date | April 13 2025 07:32 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
1315
244.6 IPS |
|
|
Image Classification (HP)
|
100% |
1704
316.9 IPS |
|
|
Image Classification (Q)
|
96% |
1289
240.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1681
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5846
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13503
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11712
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
97% |
1956
155.7 IPS |
|
|
Object Detection (Q)
|
94% |
1530
122.0 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4041
48.0 IPS |
|
|
Face Detection (Q)
|
100% |
2636
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5224
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8173
63.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
6149
48.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15682
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24775
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20866
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3384
125.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4449
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3427
126.6 IPS |
|
|
Text Classification (SP)
|
100% |
2313
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
3748
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1796
30.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3088
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3090
53.4 IPS |
