MacBook Air (Late 2020)
Geekbench AI Score
3512
Single Precision Score
4224
Half Precision Score
3644
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | chrisbench01 |
| Upload Date | December 13 2024 05:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B91) |
| 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 | 1.95 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1758
326.9 IPS |
|
|
Image Classification (HP)
|
100% |
1960
364.4 IPS |
|
|
Image Classification (Q)
|
97% |
1442
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2633
42.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2736
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9518
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10317
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11340
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
2183
173.2 IPS |
|
|
Object Detection (HP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (Q)
|
91% |
1551
123.9 IPS |
|
|
Face Detection (SP)
|
100% |
4898
58.2 IPS |
|
|
Face Detection (HP)
|
100% |
7320
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
5316
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6698
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7877
60.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7166
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22433
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
19419
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
17944
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5837
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6753
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5037
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
1543
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (Q)
|
93% |
2611
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
750
12.9 IPS |
|
|
Machine Translation (Q)
|
98% |
663
11.5 IPS |
