MacBook Air (Late 2020)
Geekbench AI Score
525
Single Precision Score
5431
Half Precision Score
4329
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 31 2024 10:38 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 | 2.02 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
475
88.2 IPS |
|
|
Image Classification (HP)
|
100% |
4257
791.6 IPS |
|
|
Image Classification (Q)
|
96% |
2330
435.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
134
2.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
133
2.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1172
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
31243
36.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
39888
46.8 IPS |
|
|
Object Detection (SP)
|
100% |
475
37.7 IPS |
|
|
Object Detection (HP)
|
99% |
4450
354.0 IPS |
|
|
Object Detection (Q)
|
93% |
4087
326.1 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.86 IPS |
|
|
Face Detection (HP)
|
100% |
5466
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
5784
68.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1004
7.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
17779
137.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
25143
196.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3354
4.31 IPS |
|
|
Style Transfer (HP)
|
100% |
46101
59.3 IPS |
|
|
Style Transfer (Q)
|
96% |
46679
60.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
589
21.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6800
251.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8305
306.7 IPS |
|
|
Text Classification (SP)
|
100% |
125
166.3 IPS |
|
|
Text Classification (HP)
|
100% |
1316
1.76 KIPS |
|
|
Text Classification (Q)
|
93% |
1437
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
566
9.79 IPS |
