MacBook Air (Late 2020)
Geekbench AI Score
3209
Single Precision Score
15987
Half Precision Score
15767
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | OXO |
| Upload Date | August 23 2025 09:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
6363
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6022
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1365
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9687
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10053
163.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
68822
80.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
66881
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1509
119.7 IPS |
|
|
Object Detection (HP)
|
99% |
7257
577.3 IPS |
|
|
Object Detection (Q)
|
91% |
6981
557.8 IPS |
|
|
Face Detection (SP)
|
100% |
2985
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
16845
200.2 IPS |
|
|
Face Detection (Q)
|
100% |
15543
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5662
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
48938
377.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
49708
388.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16984
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
122166
157.0 IPS |
|
|
Style Transfer (Q)
|
96% |
116130
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3695
136.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23780
878.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24457
903.1 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
4039
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4036
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
2501
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3663
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3794
65.6 IPS |
