MacBook Air (Late 2020)
Geekbench ML Score
6153
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 27 2024 02:54 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1429
267.5 IPS |
|
|
Image Classification (F16)
|
100% |
6188
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6397
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
784
13.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
787
13.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
15523
18.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
63449
76.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
63298
76.7 IPS |
|
|
Object Detection (F32)
|
100% |
1659
123.8 IPS |
|
|
Object Detection (F16)
|
100% |
4056
302.8 IPS |
|
|
Object Detection (I8)
|
97% |
1686
125.8 IPS |
|
|
Face Detection (F32)
|
100% |
4994
59.4 IPS |
|
|
Face Detection (F16)
|
97% |
11306
134.4 IPS |
|
|
Face Detection (I8)
|
96% |
11141
132.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
11178
86.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
41993
325.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
43096
334.2 IPS |
|
|
Style Transfer (F32)
|
100% |
26990
35.5 IPS |
|
|
Style Transfer (F16)
|
100% |
112426
147.9 IPS |
|
|
Style Transfer (I8)
|
100% |
115329
151.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5090
181.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18319
654.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18006
643.0 IPS |
|
|
Text Classification (F32)
|
100% |
1186
1.70 KIPS |
|
|
Text Classification (F16)
|
100% |
2455
3.53 KIPS |
|
|
Text Classification (I8)
|
96% |
2417
3.47 KIPS |
|
|
Machine Translation (F32)
|
100% |
579
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1509
27.8 IPS |
|
|
Machine Translation (I8)
|
99% |
558
10.3 IPS |
