MacBook Air (Late 2020)
Geekbench AI Score
3098
Single Precision Score
5476
Half Precision Score
4470
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Frankenmann |
| Upload Date | September 26 2025 10:44 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
2222
413.2 IPS |
|
|
Image Classification (Q)
|
96% |
1588
296.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2210
35.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2535
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6023
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14139
16.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12135
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
97% |
2408
191.7 IPS |
|
|
Object Detection (Q)
|
94% |
1786
142.3 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5475
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3181
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5446
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10300
79.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7386
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26292
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21926
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3503
129.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4820
178.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3525
130.2 IPS |
|
|
Text Classification (SP)
|
100% |
2408
3.21 KIPS |
|
|
Text Classification (HP)
|
99% |
4337
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4311
5.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2468
42.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4687
81.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4671
80.7 IPS |
