MacBook Air (Late 2020)
Geekbench AI Score
485
Single Precision Score
5350
Half Precision Score
3998
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 05:21 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 | 1.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
237
44.1 IPS |
|
|
Image Classification (HP)
|
100% |
2589
481.4 IPS |
|
|
Image Classification (Q)
|
96% |
2537
473.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
142
2.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
1865
30.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
131
2.13 IPS |
|
|
Pose Estimation (SP)
|
100% |
1144
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
24841
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
26175
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
99% |
2967
236.0 IPS |
|
|
Object Detection (Q)
|
93% |
2758
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
573
6.81 IPS |
|
|
Face Detection (HP)
|
100% |
5119
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
5466
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
939
7.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
19265
148.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21271
166.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2697
3.47 IPS |
|
|
Style Transfer (HP)
|
100% |
48596
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
48698
62.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7571
279.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8812
325.4 IPS |
|
|
Text Classification (SP)
|
100% |
151
202.0 IPS |
|
|
Text Classification (HP)
|
100% |
1609
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
1227
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
431
7.43 IPS |
|
|
Machine Translation (HP)
|
100% |
926
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
711
12.3 IPS |
