MacBook Air (Late 2020)
Geekbench AI Score
3215
Single Precision Score
5401
Half Precision Score
4423
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | fridriksa |
| Upload Date | July 12 2025 07:42 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5306g) |
| 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% |
1419
263.9 IPS |
|
|
Image Classification (HP)
|
100% |
2212
411.3 IPS |
|
|
Image Classification (Q)
|
96% |
1569
293.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2214
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2546
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6481
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14224
16.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12220
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1500
119.0 IPS |
|
|
Object Detection (HP)
|
97% |
2397
190.9 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5427
64.5 IPS |
|
|
Face Detection (Q)
|
100% |
3168
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5651
43.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
10443
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7377
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16929
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26872
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22293
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3509
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3919
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3898
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2520
43.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4668
80.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4620
79.8 IPS |
