MacBook Air (Late 2020)
Geekbench AI Score
3185
Single Precision Score
16132
Half Precision Score
15763
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | kshaikh |
| Upload Date | July 23 2025 02:40 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1397
259.8 IPS |
|
|
Image Classification (HP)
|
100% |
6351
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
6015
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1322
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9770
158.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10097
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6449
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
69098
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66644
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
1490
118.2 IPS |
|
|
Object Detection (HP)
|
99% |
7574
602.5 IPS |
|
|
Object Detection (Q)
|
91% |
7055
563.7 IPS |
|
|
Face Detection (SP)
|
100% |
2946
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
17014
202.2 IPS |
|
|
Face Detection (Q)
|
100% |
15495
184.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
49345
380.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
49561
387.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16843
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
122523
157.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116147
149.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3674
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23997
886.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24288
896.8 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
4153
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4120
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3587
61.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3717
64.2 IPS |
