MacBook Air (Late 2020)
Geekbench AI Score
416
Single Precision Score
3686
Half Precision Score
2989
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | October 30 2024 09:11 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7 (Build 23H124) |
| 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 | 1.22 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
1623
301.9 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
113
1.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
1215
19.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
108
1.74 IPS |
|
|
Pose Estimation (SP)
|
100% |
1262
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
21488
25.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
25183
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
99% |
1703
135.5 IPS |
|
|
Object Detection (Q)
|
93% |
2045
163.2 IPS |
|
|
Face Detection (SP)
|
100% |
632
7.51 IPS |
|
|
Face Detection (HP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (Q)
|
100% |
5550
66.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1163
8.96 IPS |
|
|
Depth Estimation (HP)
|
99% |
19265
148.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
25195
196.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2979
3.83 IPS |
|
|
Style Transfer (HP)
|
100% |
31551
40.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28922
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
406
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4259
157.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4943
182.5 IPS |
|
|
Text Classification (SP)
|
100% |
78
103.8 IPS |
|
|
Text Classification (HP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (Q)
|
93% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
258
4.45 IPS |
|
|
Machine Translation (HP)
|
100% |
471
8.11 IPS |
|
|
Machine Translation (Q)
|
98% |
365
6.30 IPS |
