MacBook Air (Late 2020) - Robin Personal MacBook Air (Late 2020)
Geekbench AI Score
3240
Single Precision Score
5387
Half Precision Score
4397
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | Benjamin_Personal |
| Upload Date | April 15 2026 09:36 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (Q)
|
96% |
1560
291.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1432
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2286
37.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2618
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6498
7.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13941
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11848
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1471
116.7 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1785
142.2 IPS |
|
|
Face Detection (SP)
|
100% |
2989
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5455
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5808
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11062
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7646
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16990
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26493
34.1 IPS |
|
|
Style Transfer (Q)
|
96% |
22051
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3781
139.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4697
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3430
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4037
5.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4010
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
2550
43.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4019
69.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4268
73.8 IPS |
