MacBook Air (Late 2020)
Geekbench AI Score
3213
Single Precision Score
5294
Half Precision Score
4413
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 10 2025 04:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.6 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.4 IPS |
|
|
Image Classification (Q)
|
96% |
1563
291.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1285
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2191
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2595
42.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6506
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
13926
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12062
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1516
120.2 IPS |
|
|
Object Detection (HP)
|
97% |
2427
193.2 IPS |
|
|
Object Detection (Q)
|
94% |
1784
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5465
64.9 IPS |
|
|
Face Detection (Q)
|
100% |
3210
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11069
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7661
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16984
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26023
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21825
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3408
125.8 IPS |
|
|
Text Classification (SP)
|
100% |
2376
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4053
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4131
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2528
43.5 IPS |
|
|
Machine Translation (HP)
|
98% |
3840
66.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4255
73.5 IPS |
