MacBook Air (Late 2020)
Geekbench AI Score
4485
Single Precision Score
5500
Half Precision Score
4821
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | February 10 2025 03:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.18 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2417
449.4 IPS |
|
|
Image Classification (HP)
|
100% |
2631
489.3 IPS |
|
|
Image Classification (Q)
|
97% |
2115
394.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3336
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3472
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15331
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17152
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15985
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (Q)
|
91% |
2191
175.1 IPS |
|
|
Face Detection (SP)
|
100% |
5781
68.7 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
5273
62.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10962
84.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12761
98.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10643
83.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26335
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31833
40.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30260
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5933
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6944
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5323
196.6 IPS |
|
|
Text Classification (SP)
|
100% |
2334
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4120
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4116
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (Q)
|
98% |
710
12.3 IPS |
