MacBook Air (Late 2020)
Geekbench AI Score
2840
Single Precision Score
4262
Half Precision Score
3688
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 05 2025 08:13 PM |
| Views | 2 |
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% |
1298
241.5 IPS |
|
|
Image Classification (HP)
|
100% |
1694
315.1 IPS |
|
|
Image Classification (Q)
|
96% |
1284
239.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1676
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5815
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
13485
15.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
11690
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1412
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
1933
153.9 IPS |
|
|
Object Detection (Q)
|
94% |
1522
121.3 IPS |
|
|
Face Detection (SP)
|
100% |
2401
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2658
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5234
40.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
8233
63.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
6194
48.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15659
20.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24762
31.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20875
26.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3366
124.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4409
162.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3400
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2264
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3410
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3373
4.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1835
31.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3080
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3089
53.4 IPS |
