MacBook Air (Late 2020)
Geekbench AI Score
3123
Single Precision Score
5238
Half Precision Score
4297
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sw0000 |
| Upload Date | February 10 2025 03:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1341
249.4 IPS |
|
|
Image Classification (HP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (Q)
|
96% |
1521
284.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1318
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6411
7.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
13670
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11788
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1475
117.0 IPS |
|
|
Object Detection (HP)
|
97% |
2369
188.6 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
2789
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
5074
60.3 IPS |
|
|
Face Detection (Q)
|
100% |
2981
35.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5544
42.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10795
83.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7497
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16401
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26095
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21686
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3666
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4614
170.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3371
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
2335
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4118
5.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4143
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2439
42.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3784
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4036
69.7 IPS |
