MacBook Air (Late 2020)
Geekbench AI Score
444
Single Precision Score
4992
Half Precision Score
3949
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 11:50 AM |
| Views | 5 |
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 | 1.53 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
2419
449.9 IPS |
|
|
Image Classification (Q)
|
96% |
2101
392.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
151
2.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
140
2.27 IPS |
|
|
Pose Estimation (SP)
|
100% |
1099
1.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
23315
27.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23405
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
284
22.5 IPS |
|
|
Object Detection (HP)
|
99% |
2654
211.1 IPS |
|
|
Object Detection (Q)
|
93% |
2829
225.7 IPS |
|
|
Face Detection (SP)
|
100% |
490
5.83 IPS |
|
|
Face Detection (HP)
|
100% |
5262
62.5 IPS |
|
|
Face Detection (Q)
|
100% |
5869
69.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
758
5.84 IPS |
|
|
Depth Estimation (HP)
|
99% |
18897
145.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
20100
157.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2213
2.85 IPS |
|
|
Style Transfer (HP)
|
100% |
47648
61.3 IPS |
|
|
Style Transfer (Q)
|
96% |
45015
58.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
704
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7087
261.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8323
307.3 IPS |
|
|
Text Classification (SP)
|
100% |
154
205.7 IPS |
|
|
Text Classification (HP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (Q)
|
93% |
1542
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
696
12.0 IPS |
