MacBook Air (Late 2020)
Geekbench ML Score
3397
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 18 2024 03:18 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 13.6.7 (Build 22G720) |
| 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 |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2097
392.4 IPS |
|
|
Image Classification (F16)
|
100% |
2209
413.4 IPS |
|
|
Image Classification (I8)
|
99% |
2216
414.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
618
10.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
605
10.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
567
9.47 IPS |
|
|
Pose Estimation (F32)
|
100% |
15352
18.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
16424
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16384
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1645
122.8 IPS |
|
|
Object Detection (F16)
|
100% |
1747
130.5 IPS |
|
|
Object Detection (I8)
|
97% |
1813
135.3 IPS |
|
|
Face Detection (F32)
|
100% |
6391
76.0 IPS |
|
|
Face Detection (F16)
|
97% |
7317
87.0 IPS |
|
|
Face Detection (I8)
|
96% |
7339
87.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10217
79.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11421
88.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
11223
87.0 IPS |
|
|
Style Transfer (F32)
|
100% |
25851
34.0 IPS |
|
|
Style Transfer (F16)
|
100% |
29143
38.3 IPS |
|
|
Style Transfer (I8)
|
100% |
29628
39.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4857
173.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5180
185.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5470
195.3 IPS |
|
|
Text Classification (F32)
|
100% |
519
746.0 IPS |
|
|
Text Classification (F16)
|
100% |
476
684.0 IPS |
|
|
Text Classification (I8)
|
96% |
482
692.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1025
18.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1060
19.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1026
18.9 IPS |
