MacBook Air (Late 2020)
Geekbench AI Score
561
Single Precision Score
6574
Half Precision Score
4995
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 01:15 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 | 1.73 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
5191
965.4 IPS |
|
|
Image Classification (Q)
|
96% |
3901
728.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
3339
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
265
4.29 IPS |
|
|
Pose Estimation (SP)
|
100% |
2823
3.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
44773
52.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
40424
47.4 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
4290
341.2 IPS |
|
|
Object Detection (Q)
|
93% |
2595
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
5516
65.5 IPS |
|
|
Face Detection (Q)
|
100% |
5733
68.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
19587
150.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
21989
171.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2524
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
51471
66.2 IPS |
|
|
Style Transfer (Q)
|
96% |
48034
62.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8191
302.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9054
334.3 IPS |
|
|
Text Classification (SP)
|
100% |
141
187.6 IPS |
|
|
Text Classification (HP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (Q)
|
93% |
1560
2.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
615
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1043
18.0 IPS |
