MacBook Air (Late 2020)
Geekbench AI Score
439
Single Precision Score
5036
Half Precision Score
4008
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 04:29 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 | 1.97 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (HP)
|
100% |
2743
510.2 IPS |
|
|
Image Classification (Q)
|
96% |
2149
401.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
112
1.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
148
2.40 IPS |
|
|
Pose Estimation (SP)
|
100% |
1210
1.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
24895
29.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
22431
26.3 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
99% |
2842
226.1 IPS |
|
|
Object Detection (Q)
|
93% |
2636
210.3 IPS |
|
|
Face Detection (SP)
|
100% |
536
6.37 IPS |
|
|
Face Detection (HP)
|
100% |
4988
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
5736
68.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
984
7.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
13193
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19093
149.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2180
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
52800
67.9 IPS |
|
|
Style Transfer (Q)
|
96% |
49897
64.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
718
26.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8366
308.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9371
346.0 IPS |
|
|
Text Classification (SP)
|
100% |
147
195.8 IPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
430
7.40 IPS |
|
|
Machine Translation (HP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (Q)
|
98% |
696
12.0 IPS |
