MacBook Air (Late 2020)
Geekbench AI Score
4965
Single Precision Score
5801
Half Precision Score
5179
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 30 2024 03:15 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.6 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.9 IPS |
|
|
Image Classification (Q)
|
97% |
2250
419.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2744
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3652
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3719
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17171
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18729
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
17393
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
2709
214.9 IPS |
|
|
Object Detection (Q)
|
91% |
2240
179.0 IPS |
|
|
Face Detection (SP)
|
100% |
6581
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
8220
97.7 IPS |
|
|
Face Detection (Q)
|
100% |
5887
70.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12243
94.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13759
106.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
11520
90.0 IPS |
|
|
Style Transfer (SP)
|
100% |
29347
37.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35057
45.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32596
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6536
241.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5475
202.2 IPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3985
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3990
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
874
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
882
15.2 IPS |
