MacBook Air (Late 2020)
Geekbench ML Score
3735
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 12:12 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5320a) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1136
212.6 IPS |
|
|
Image Classification (F16)
|
100% |
1233
230.7 IPS |
|
|
Image Classification (I8)
|
99% |
1251
234.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
777
13.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
849
14.2 IPS |
|
|
Image Segmentation (I8)
|
100% |
867
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
16433
19.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
18018
21.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
17503
21.2 IPS |
|
|
Object Detection (F32)
|
100% |
1608
120.1 IPS |
|
|
Object Detection (F16)
|
100% |
1449
108.1 IPS |
|
|
Object Detection (I8)
|
97% |
1527
114.0 IPS |
|
|
Face Detection (F32)
|
100% |
5639
67.1 IPS |
|
|
Face Detection (F16)
|
98% |
7224
85.9 IPS |
|
|
Face Detection (I8)
|
97% |
7139
84.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
12075
93.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
13651
105.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
12428
96.4 IPS |
|
|
Style Transfer (F32)
|
100% |
26492
34.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31144
41.0 IPS |
|
|
Style Transfer (I8)
|
100% |
34409
45.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5132
183.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5418
193.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5188
185.3 IPS |
|
|
Text Classification (F32)
|
100% |
2063
2.97 KIPS |
|
|
Text Classification (F16)
|
100% |
3529
5.07 KIPS |
|
|
Text Classification (I8)
|
96% |
3520
5.06 KIPS |
|
|
Machine Translation (F32)
|
100% |
504
9.28 IPS |
|
|
Machine Translation (F16)
|
100% |
497
9.14 IPS |
|
|
Machine Translation (I8)
|
99% |
512
9.43 IPS |
