MacBook Air (Late 2020)
Geekbench AI Score
707
Single Precision Score
6501
Half Precision Score
4747
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 02 2024 12:30 PM |
| Views | 9 |
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 | 2.98 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
760
141.3 IPS |
|
|
Image Classification (HP)
|
100% |
5109
950.1 IPS |
|
|
Image Classification (Q)
|
96% |
5131
958.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
337
5.46 IPS |
|
|
Image Segmentation (HP)
|
100% |
3687
59.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
175
2.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
1294
1.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
22407
26.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
21608
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.2 IPS |
|
|
Object Detection (HP)
|
99% |
2677
213.0 IPS |
|
|
Object Detection (Q)
|
93% |
2239
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
448
5.32 IPS |
|
|
Face Detection (HP)
|
100% |
4749
56.4 IPS |
|
|
Face Detection (Q)
|
100% |
4470
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
668
5.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
17831
137.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23308
182.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4101
5.27 IPS |
|
|
Style Transfer (HP)
|
100% |
43600
56.0 IPS |
|
|
Style Transfer (Q)
|
96% |
66897
86.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1256
46.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11567
427.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14459
533.9 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.9 IPS |
|
|
Text Classification (HP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2405
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
758
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
98% |
553
9.55 IPS |
