MacBook Air (Late 2020)
Geekbench AI Score
3229
Single Precision Score
5295
Half Precision Score
4400
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | jackhuang2024 |
| Upload Date | September 18 2024 09:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.4 IPS |
|
|
Image Classification (Q)
|
96% |
1565
292.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2200
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13906
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12063
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1519
120.5 IPS |
|
|
Object Detection (HP)
|
97% |
2429
193.3 IPS |
|
|
Object Detection (Q)
|
94% |
1797
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
5531
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3196
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11072
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7664
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
16737
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26136
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21836
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3726
137.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4422
163.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3364
124.2 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3979
5.31 KIPS |
|
|
Text Classification (Q)
|
93% |
4040
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3785
65.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4260
73.6 IPS |
