MacBook Air (Late 2020)
Geekbench AI Score
4725
Single Precision Score
5521
Half Precision Score
5053
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | guinea7pig |
| Upload Date | May 20 2025 02:42 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2003
372.4 IPS |
|
|
Image Classification (HP)
|
100% |
2211
411.2 IPS |
|
|
Image Classification (Q)
|
96% |
1963
366.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3791
61.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3648
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15711
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16963
19.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
16384
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
2373
188.2 IPS |
|
|
Object Detection (Q)
|
92% |
2195
175.2 IPS |
|
|
Face Detection (SP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (HP)
|
100% |
6945
82.5 IPS |
|
|
Face Detection (Q)
|
100% |
5674
67.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9324
71.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10990
84.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
10000
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26691
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30368
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29626
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5930
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6472
239.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5156
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4145
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1272
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1173
20.3 IPS |
