MacBook Air (Late 2020)
Geekbench AI Score
3083
Single Precision Score
5405
Half Precision Score
4453
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | mulnir |
| Upload Date | September 17 2025 10:59 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
1312
244.1 IPS |
|
|
Image Classification (HP)
|
100% |
2219
412.6 IPS |
|
|
Image Classification (Q)
|
96% |
1570
293.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1298
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2528
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6018
7.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14100
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12129
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (HP)
|
97% |
2408
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
1783
142.1 IPS |
|
|
Face Detection (SP)
|
100% |
2954
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5450
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3175
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5468
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10309
79.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7372
57.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16465
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26259
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21891
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3453
127.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4586
169.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3491
128.9 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4277
5.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2469
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4691
81.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4672
80.7 IPS |
