MacBook Air (Late 2020)
Geekbench AI Score
3070
Single Precision Score
5406
Half Precision Score
4443
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 09 2025 09:45 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
2189
407.1 IPS |
|
|
Image Classification (Q)
|
96% |
1573
293.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2506
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5988
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
14109
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12118
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2393
190.5 IPS |
|
|
Object Detection (Q)
|
94% |
1767
140.8 IPS |
|
|
Face Detection (SP)
|
100% |
2937
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
5404
64.2 IPS |
|
|
Face Detection (Q)
|
100% |
3154
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5420
41.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
10399
80.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7336
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16397
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26137
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21832
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3460
127.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4585
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2426
3.24 KIPS |
|
|
Text Classification (HP)
|
99% |
4327
5.78 KIPS |
|
|
Text Classification (Q)
|
93% |
4283
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4684
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4685
81.0 IPS |
