MacBook Air (Late 2020)
Geekbench ML Score
2997
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 14 2024 05:44 AM |
| Views | 2 |
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 | 3.20 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1288
241.1 IPS |
|
|
Image Classification (F16)
|
100% |
1671
312.7 IPS |
|
|
Image Classification (I8)
|
99% |
1671
312.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
597
9.98 IPS |
|
|
Image Segmentation (F16)
|
100% |
586
9.78 IPS |
|
|
Image Segmentation (I8)
|
100% |
592
9.89 IPS |
|
|
Pose Estimation (F32)
|
100% |
5632
6.82 IPS |
|
|
Pose Estimation (F16)
|
100% |
12966
15.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
12973
15.7 IPS |
|
|
Object Detection (F32)
|
100% |
1314
98.1 IPS |
|
|
Object Detection (F16)
|
100% |
1755
131.0 IPS |
|
|
Object Detection (I8)
|
97% |
1310
97.8 IPS |
|
|
Face Detection (F32)
|
100% |
2378
28.3 IPS |
|
|
Face Detection (F16)
|
97% |
4010
47.7 IPS |
|
|
Face Detection (I8)
|
97% |
3948
46.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
5187
40.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
8096
62.8 IPS |
|
|
Depth Estimation (I8)
|
99% |
8119
63.0 IPS |
|
|
Style Transfer (F32)
|
100% |
15271
20.1 IPS |
|
|
Style Transfer (F16)
|
100% |
24166
31.8 IPS |
|
|
Style Transfer (I8)
|
100% |
24187
31.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3483
124.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4524
161.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4654
166.2 IPS |
|
|
Text Classification (F32)
|
100% |
2104
3.02 KIPS |
|
|
Text Classification (F16)
|
100% |
3394
4.88 KIPS |
|
|
Text Classification (I8)
|
96% |
3386
4.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
735
13.5 IPS |
|
|
Machine Translation (F16)
|
100% |
872
16.0 IPS |
|
|
Machine Translation (I8)
|
99% |
723
13.3 IPS |
