MacBook Air (Late 2020)
Geekbench ML Score
3322
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 05:11 PM |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1763
330.0 IPS |
|
|
Image Classification (F16)
|
100% |
1646
308.1 IPS |
|
|
Image Classification (I8)
|
99% |
1584
296.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
825
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
864
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
874
14.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
16190
19.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
17837
21.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
17699
21.4 IPS |
|
|
Object Detection (F32)
|
100% |
1451
108.3 IPS |
|
|
Object Detection (F16)
|
100% |
1408
105.1 IPS |
|
|
Object Detection (I8)
|
97% |
1638
122.3 IPS |
|
|
Face Detection (F32)
|
100% |
6044
71.9 IPS |
|
|
Face Detection (F16)
|
98% |
7236
86.0 IPS |
|
|
Face Detection (I8)
|
97% |
7093
84.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
12098
93.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13584
105.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
12830
99.5 IPS |
|
|
Style Transfer (F32)
|
100% |
28657
37.7 IPS |
|
|
Style Transfer (F16)
|
100% |
34335
45.2 IPS |
|
|
Style Transfer (I8)
|
100% |
33744
44.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6156
219.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5404
193.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5379
192.1 IPS |
|
|
Text Classification (F32)
|
100% |
440
632.6 IPS |
|
|
Text Classification (F16)
|
100% |
543
780.9 IPS |
|
|
Text Classification (I8)
|
96% |
544
781.2 IPS |
|
|
Machine Translation (F32)
|
100% |
559
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
561
10.3 IPS |
|
|
Machine Translation (I8)
|
99% |
570
10.5 IPS |
