MacBook Air (Late 2020)
Geekbench ML Score
2990
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | coolcube |
| Upload Date | August 16 2024 11:58 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.18 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1287
240.8 IPS |
|
|
Image Classification (F16)
|
100% |
1666
311.7 IPS |
|
|
Image Classification (I8)
|
99% |
1674
313.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
593
9.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
587
9.80 IPS |
|
|
Image Segmentation (I8)
|
100% |
587
9.80 IPS |
|
|
Pose Estimation (F32)
|
100% |
5620
6.81 IPS |
|
|
Pose Estimation (F16)
|
100% |
12943
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12512
15.2 IPS |
|
|
Object Detection (F32)
|
100% |
1324
98.8 IPS |
|
|
Object Detection (F16)
|
100% |
1759
131.3 IPS |
|
|
Object Detection (I8)
|
97% |
1313
98.1 IPS |
|
|
Face Detection (F32)
|
100% |
2371
28.2 IPS |
|
|
Face Detection (F16)
|
97% |
3900
46.4 IPS |
|
|
Face Detection (I8)
|
97% |
3942
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5178
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8121
63.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8107
62.9 IPS |
|
|
Style Transfer (F32)
|
100% |
15198
20.0 IPS |
|
|
Style Transfer (F16)
|
100% |
24154
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24065
31.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3458
123.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4674
166.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4703
168.0 IPS |
|
|
Text Classification (F32)
|
100% |
2110
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
3399
4.89 KIPS |
|
|
Text Classification (I8)
|
96% |
3390
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
722
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
869
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
721
13.3 IPS |
