MacBook Air (Late 2020)
Geekbench AI Score
662
Single Precision Score
6864
Half Precision Score
5042
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 02 2024 09:00 AM |
| Views | 2 |
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 | 1.80 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
431
80.2 IPS |
|
|
Image Classification (HP)
|
100% |
4682
870.6 IPS |
|
|
Image Classification (Q)
|
96% |
3744
699.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
1901
30.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
119
1.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1169
1.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
21830
25.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21350
25.0 IPS |
|
|
Object Detection (SP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (HP)
|
99% |
3565
283.6 IPS |
|
|
Object Detection (Q)
|
93% |
3938
314.2 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
7371
87.6 IPS |
|
|
Face Detection (Q)
|
100% |
7736
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
32763
252.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
36928
288.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5353
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
90598
116.5 IPS |
|
|
Style Transfer (Q)
|
96% |
87145
112.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1319
48.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16163
596.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12020
443.8 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.2 IPS |
|
|
Text Classification (HP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (Q)
|
93% |
1603
2.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
591
10.2 IPS |
