MacBook Air (Late 2020 - robin personal MacBook Air (Late 2020)
Geekbench AI Score
3215
Single Precision Score
15413
Half Precision Score
15157
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | jordatech |
| Upload Date | April 15 2026 09:45 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1383
257.2 IPS |
|
|
Image Classification (HP)
|
100% |
6059
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5765
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9578
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9857
159.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6524
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
68278
79.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
66285
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
1508
119.6 IPS |
|
|
Object Detection (HP)
|
99% |
7015
558.0 IPS |
|
|
Object Detection (Q)
|
91% |
6485
518.2 IPS |
|
|
Face Detection (SP)
|
100% |
3033
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
15572
185.0 IPS |
|
|
Face Detection (Q)
|
100% |
14119
167.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5815
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
47455
365.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
47793
373.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16702
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
121357
156.0 IPS |
|
|
Style Transfer (Q)
|
96% |
114878
148.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3717
137.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23848
880.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24963
921.8 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4002
5.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4092
5.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3309
57.2 IPS |
