MacBook Air (Late 2020)
Geekbench AI Score
482
Single Precision Score
5357
Half Precision Score
3888
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | December 05 2024 12:21 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.96 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
427
79.4 IPS |
|
|
Image Classification (HP)
|
100% |
5166
960.7 IPS |
|
|
Image Classification (Q)
|
96% |
4572
853.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
2621
42.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
116
1.89 IPS |
|
|
Pose Estimation (SP)
|
100% |
899
1.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
21490
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
20782
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
99% |
2459
195.6 IPS |
|
|
Object Detection (Q)
|
93% |
2352
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
401
4.76 IPS |
|
|
Face Detection (HP)
|
100% |
4678
55.6 IPS |
|
|
Face Detection (Q)
|
100% |
5093
60.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1117
8.61 IPS |
|
|
Depth Estimation (HP)
|
99% |
16802
129.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
18760
146.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3344
4.30 IPS |
|
|
Style Transfer (HP)
|
100% |
43997
56.6 IPS |
|
|
Style Transfer (Q)
|
96% |
42974
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
501
18.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7069
261.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7581
279.9 IPS |
|
|
Text Classification (SP)
|
100% |
138
183.6 IPS |
|
|
Text Classification (HP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (Q)
|
93% |
1314
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
745
12.9 IPS |
