MacBook Air (Late 2020)
Geekbench AI Score
526
Single Precision Score
5277
Half Precision Score
3857
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 03 2024 03:08 AM |
| Views | 3 |
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 | 1.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
2181
405.7 IPS |
|
|
Image Classification (Q)
|
96% |
1843
344.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
108
1.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
125
2.03 IPS |
|
|
Pose Estimation (SP)
|
100% |
1009
1.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
21714
25.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
20923
24.5 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
99% |
2158
171.7 IPS |
|
|
Object Detection (Q)
|
93% |
2237
178.5 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.87 IPS |
|
|
Face Detection (HP)
|
100% |
5092
60.5 IPS |
|
|
Face Detection (Q)
|
100% |
5318
63.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1466
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
27057
208.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
30252
236.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4279
5.50 IPS |
|
|
Style Transfer (HP)
|
100% |
77704
99.9 IPS |
|
|
Style Transfer (Q)
|
96% |
48139
62.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
763
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8577
316.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9149
337.8 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.1 IPS |
|
|
Text Classification (HP)
|
100% |
1614
2.15 KIPS |
|
|
Text Classification (Q)
|
93% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
472
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
666
11.5 IPS |
|
|
Machine Translation (Q)
|
98% |
598
10.3 IPS |
