MacBook Air (Late 2020)
Geekbench AI Score
3150
Single Precision Score
5322
Half Precision Score
4364
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 01:11 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 3.17 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1380
256.7 IPS |
|
|
Image Classification (HP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (Q)
|
96% |
1548
289.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1326
21.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2511
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6376
7.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
13985
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11997
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1488
118.0 IPS |
|
|
Object Detection (HP)
|
97% |
2362
188.0 IPS |
|
|
Object Detection (Q)
|
94% |
1754
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
2923
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
5248
62.4 IPS |
|
|
Face Detection (Q)
|
100% |
3109
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5600
43.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10223
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7278
56.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16264
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26594
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22118
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4633
171.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3452
127.5 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (Q)
|
93% |
3997
5.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4466
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4444
76.8 IPS |
