MacBook Air (Late 2020)
Geekbench AI Score
611
Single Precision Score
5952
Half Precision Score
4463
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 06 2024 12:38 PM |
| Views | 3 |
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 | 1.91 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
578
107.5 IPS |
|
|
Image Classification (HP)
|
100% |
3761
699.4 IPS |
|
|
Image Classification (Q)
|
96% |
2459
459.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
1937
31.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
157
2.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
1568
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
26865
31.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
26175
30.7 IPS |
|
|
Object Detection (SP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (HP)
|
99% |
2891
230.0 IPS |
|
|
Object Detection (Q)
|
93% |
2827
225.6 IPS |
|
|
Face Detection (SP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (HP)
|
100% |
5555
66.0 IPS |
|
|
Face Detection (Q)
|
100% |
5597
66.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
963
7.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
20270
156.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
21635
169.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2596
3.34 IPS |
|
|
Style Transfer (HP)
|
100% |
52977
68.1 IPS |
|
|
Style Transfer (Q)
|
96% |
51031
65.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
828
30.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8520
314.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9426
348.1 IPS |
|
|
Text Classification (SP)
|
100% |
206
274.6 IPS |
|
|
Text Classification (HP)
|
100% |
1654
2.21 KIPS |
|
|
Text Classification (Q)
|
93% |
1628
2.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1158
20.0 IPS |
