MacBook Air (Late 2020)
Geekbench AI Score
2830
Single Precision Score
4284
Half Precision Score
3707
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | jfalharbi |
| Upload Date | November 05 2025 08:22 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
1681
312.6 IPS |
|
|
Image Classification (Q)
|
96% |
1282
239.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1165
18.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1679
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5820
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
13493
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11658
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
97% |
1952
155.4 IPS |
|
|
Object Detection (Q)
|
94% |
1531
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2369
28.1 IPS |
|
|
Face Detection (HP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (Q)
|
100% |
2626
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5215
40.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
8113
62.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
6196
48.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15505
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24976
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20865
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3366
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4416
163.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3405
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3656
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3599
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1803
31.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3052
52.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3071
53.1 IPS |
