MacBook Air (Late 2020)
Geekbench AI Score
511
Single Precision Score
5335
Half Precision Score
3920
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 03:00 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 | 2.07 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
440
81.9 IPS |
|
|
Image Classification (HP)
|
100% |
4937
918.1 IPS |
|
|
Image Classification (Q)
|
96% |
3877
724.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
253
4.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
2741
44.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
128
2.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
1239
1.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
21536
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
20989
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
99% |
2575
204.9 IPS |
|
|
Object Detection (Q)
|
93% |
2576
205.6 IPS |
|
|
Face Detection (SP)
|
100% |
805
9.57 IPS |
|
|
Face Detection (HP)
|
100% |
7292
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
7300
86.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1303
10.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
16178
124.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
18708
146.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2211
2.84 IPS |
|
|
Style Transfer (HP)
|
100% |
43341
55.7 IPS |
|
|
Style Transfer (Q)
|
96% |
41888
54.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
494
18.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7194
265.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8136
300.4 IPS |
|
|
Text Classification (SP)
|
100% |
106
140.9 IPS |
|
|
Text Classification (HP)
|
100% |
1161
1.55 KIPS |
|
|
Text Classification (Q)
|
93% |
1142
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
356
6.13 IPS |
|
|
Machine Translation (HP)
|
100% |
583
10.0 IPS |
|
|
Machine Translation (Q)
|
98% |
601
10.4 IPS |
