MacBook Air (Late 2020)
Geekbench AI Score
458
Single Precision Score
5284
Half Precision Score
4054
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | M1_MACBOOK |
| Upload Date | November 01 2024 04:37 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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 | 1.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
250
46.6 IPS |
|
|
Image Classification (HP)
|
100% |
2855
531.0 IPS |
|
|
Image Classification (Q)
|
96% |
2562
478.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
133
2.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
134
2.18 IPS |
|
|
Pose Estimation (SP)
|
100% |
1117
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
22470
26.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24458
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
99% |
2908
231.3 IPS |
|
|
Object Detection (Q)
|
93% |
2902
231.5 IPS |
|
|
Face Detection (SP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (HP)
|
100% |
5768
68.5 IPS |
|
|
Face Detection (Q)
|
100% |
5870
69.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
827
6.37 IPS |
|
|
Depth Estimation (HP)
|
99% |
18572
143.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
21087
164.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2474
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
45460
58.4 IPS |
|
|
Style Transfer (Q)
|
96% |
48474
62.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7498
276.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8255
304.8 IPS |
|
|
Text Classification (SP)
|
100% |
160
213.8 IPS |
|
|
Text Classification (HP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (Q)
|
93% |
1173
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
836
14.4 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.6 IPS |
