MacBook Air (Late 2020)
Geekbench AI Score
501
Single Precision Score
5617
Half Precision Score
4394
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 04 2024 04:37 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 | 1.66 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (HP)
|
100% |
2855
531.0 IPS |
|
|
Image Classification (Q)
|
96% |
2456
458.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
1956
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
136
2.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
1472
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
26364
30.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26305
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
99% |
2836
225.6 IPS |
|
|
Object Detection (Q)
|
93% |
2977
237.5 IPS |
|
|
Face Detection (SP)
|
100% |
591
7.02 IPS |
|
|
Face Detection (HP)
|
100% |
5436
64.6 IPS |
|
|
Face Detection (Q)
|
100% |
5903
70.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
838
6.45 IPS |
|
|
Depth Estimation (HP)
|
99% |
20306
156.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21716
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2621
3.37 IPS |
|
|
Style Transfer (HP)
|
100% |
50539
65.0 IPS |
|
|
Style Transfer (Q)
|
96% |
48540
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
774
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8400
310.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8807
325.2 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.1 IPS |
|
|
Text Classification (HP)
|
100% |
1603
2.14 KIPS |
|
|
Text Classification (Q)
|
93% |
1657
2.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
565
9.73 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1132
19.6 IPS |
