MacBook Air (Late 2020)
Geekbench AI Score
3216
Single Precision Score
5305
Half Precision Score
4388
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nisizaka |
| Upload Date | March 29 2025 05:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1400
260.3 IPS |
|
|
Image Classification (HP)
|
100% |
2170
403.6 IPS |
|
|
Image Classification (Q)
|
96% |
1554
290.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2187
35.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2586
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6539
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13902
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12051
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5535
65.8 IPS |
|
|
Face Detection (Q)
|
100% |
3176
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11056
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7675
60.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16772
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
26109
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21916
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3370
124.4 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4014
5.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4008
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2502
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3750
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4250
73.4 IPS |
