MacBook Air (Late 2020)
Geekbench AI Score
482
Single Precision Score
5243
Half Precision Score
4073
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:45 AM |
| 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 | 1.23 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
3031
563.7 IPS |
|
|
Image Classification (Q)
|
96% |
2547
475.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
137
2.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
1868
30.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
143
2.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
1140
1.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
22865
26.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
24339
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
281
22.3 IPS |
|
|
Object Detection (HP)
|
99% |
2914
231.8 IPS |
|
|
Object Detection (Q)
|
93% |
2794
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
561
6.67 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
100% |
5561
66.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
889
6.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
19650
151.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
22373
174.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2655
3.41 IPS |
|
|
Style Transfer (HP)
|
100% |
49391
63.5 IPS |
|
|
Style Transfer (Q)
|
96% |
50592
65.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
783
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7339
271.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8894
328.4 IPS |
|
|
Text Classification (SP)
|
100% |
158
210.4 IPS |
|
|
Text Classification (HP)
|
100% |
1655
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
1179
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
386
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
770
13.3 IPS |
