MacBook Air (Late 2020)
Geekbench AI Score
957
Single Precision Score
7775
Half Precision Score
6250
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 08:57 AM |
| Views | 6 |
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 | 2.37 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
444
82.6 IPS |
|
|
Image Classification (HP)
|
100% |
5144
956.6 IPS |
|
|
Image Classification (Q)
|
96% |
4421
825.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
334
5.41 IPS |
|
|
Pose Estimation (SP)
|
100% |
2616
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
42522
49.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
42481
49.8 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
4901
389.9 IPS |
|
|
Object Detection (Q)
|
93% |
4889
390.1 IPS |
|
|
Face Detection (SP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
7936
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1782
13.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
29591
228.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
33355
260.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4432
5.70 IPS |
|
|
Style Transfer (HP)
|
100% |
44227
56.9 IPS |
|
|
Style Transfer (Q)
|
96% |
60501
78.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11318
417.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14076
519.8 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.1 IPS |
|
|
Text Classification (HP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2371
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
816
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1372
23.6 IPS |
|
|
Machine Translation (Q)
|
98% |
555
9.58 IPS |
