MacBook Air (Late 2020)
Geekbench AI Score
626
Single Precision Score
5963
Half Precision Score
4645
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 16 2024 12:27 PM |
| Views | 2 |
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 | 1.14 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
274
51.0 IPS |
|
|
Image Classification (HP)
|
100% |
2833
526.9 IPS |
|
|
Image Classification (Q)
|
96% |
2574
480.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1287
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
27008
31.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
26479
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (HP)
|
99% |
2907
231.2 IPS |
|
|
Object Detection (Q)
|
93% |
2747
219.2 IPS |
|
|
Face Detection (SP)
|
100% |
550
6.53 IPS |
|
|
Face Detection (HP)
|
100% |
5801
68.9 IPS |
|
|
Face Detection (Q)
|
100% |
5424
64.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
19224
148.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21801
170.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5207
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
80883
104.0 IPS |
|
|
Style Transfer (Q)
|
96% |
87733
113.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1357
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14404
531.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16092
594.2 IPS |
|
|
Text Classification (SP)
|
100% |
329
438.9 IPS |
|
|
Text Classification (HP)
|
100% |
1450
1.94 KIPS |
|
|
Text Classification (Q)
|
93% |
1620
2.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
407
7.01 IPS |
|
|
Machine Translation (HP)
|
100% |
692
11.9 IPS |
|
|
Machine Translation (Q)
|
98% |
679
11.7 IPS |
