MacBook Air (Late 2020)
Geekbench AI Score
417
Single Precision Score
4957
Half Precision Score
3812
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 10:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 1.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
196
36.4 IPS |
|
|
Image Classification (HP)
|
100% |
2518
468.3 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
1841
29.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
141
2.28 IPS |
|
|
Pose Estimation (SP)
|
100% |
1295
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
27131
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26142
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
308
24.4 IPS |
|
|
Object Detection (HP)
|
99% |
2583
205.5 IPS |
|
|
Object Detection (Q)
|
93% |
2754
219.7 IPS |
|
|
Face Detection (SP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (HP)
|
100% |
5723
68.0 IPS |
|
|
Face Detection (Q)
|
100% |
5996
71.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
692
5.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
16759
129.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
19582
153.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1985
2.55 IPS |
|
|
Style Transfer (HP)
|
100% |
45044
57.9 IPS |
|
|
Style Transfer (Q)
|
96% |
43150
55.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
558
20.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7999
295.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7567
279.4 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.7 IPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1124
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.95 IPS |
|
|
Machine Translation (Q)
|
98% |
595
10.3 IPS |
