MacBook Air (Late 2020)
Geekbench AI Score
3087
Single Precision Score
5151
Half Precision Score
4232
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | richh- |
| Upload Date | February 07 2025 08:22 PM |
| Views | 5 |
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 | 3.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1317
244.8 IPS |
|
|
Image Classification (HP)
|
100% |
2031
377.6 IPS |
|
|
Image Classification (Q)
|
96% |
1425
266.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6118
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
12754
14.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11422
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1450
115.0 IPS |
|
|
Object Detection (HP)
|
97% |
2359
187.8 IPS |
|
|
Object Detection (Q)
|
94% |
1734
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
2821
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
5078
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
3045
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5590
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10757
83.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7421
58.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16168
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25680
33.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21039
27.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3540
130.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4578
169.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3301
121.9 IPS |
|
|
Text Classification (SP)
|
100% |
2363
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4126
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4080
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2444
42.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3833
66.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4115
71.1 IPS |
