MacBook Air (Late 2020)
Geekbench AI Score
4638
Single Precision Score
5393
Half Precision Score
4692
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MidniteMarv |
| Upload Date | February 17 2025 06:08 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2258
419.8 IPS |
|
|
Image Classification (HP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (Q)
|
97% |
1980
369.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2544
41.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3385
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3242
52.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15466
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16830
19.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15644
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
2577
204.4 IPS |
|
|
Object Detection (Q)
|
91% |
2080
166.2 IPS |
|
|
Face Detection (SP)
|
100% |
6392
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
7531
89.5 IPS |
|
|
Face Detection (Q)
|
100% |
5185
61.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10271
79.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
11353
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
9513
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26807
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30833
39.6 IPS |
|
|
Style Transfer (Q)
|
96% |
28804
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6060
223.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6696
247.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5045
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
2331
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4043
5.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4038
5.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
857
14.8 IPS |
