MacBook Air (Late 2020)
Geekbench ML Score
5403
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 09:36 AM |
| Views | 2 |
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 | 1.95 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1131
211.7 IPS |
|
|
Image Classification (F16)
|
100% |
4907
918.1 IPS |
|
|
Image Classification (I8)
|
99% |
5010
937.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
741
12.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
949
15.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
949
15.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
12944
15.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
45031
54.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
45176
54.7 IPS |
|
|
Object Detection (F32)
|
100% |
1599
119.4 IPS |
|
|
Object Detection (F16)
|
100% |
3082
230.1 IPS |
|
|
Object Detection (I8)
|
97% |
1381
103.1 IPS |
|
|
Face Detection (F32)
|
100% |
5633
67.0 IPS |
|
|
Face Detection (F16)
|
97% |
9287
110.4 IPS |
|
|
Face Detection (I8)
|
96% |
9333
111.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
9128
70.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
33974
263.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
34570
268.1 IPS |
|
|
Style Transfer (F32)
|
100% |
22957
30.2 IPS |
|
|
Style Transfer (F16)
|
100% |
87650
115.3 IPS |
|
|
Style Transfer (I8)
|
100% |
92209
121.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4639
165.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18139
647.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18281
652.9 IPS |
|
|
Text Classification (F32)
|
100% |
1394
2.00 KIPS |
|
|
Text Classification (F16)
|
100% |
2330
3.35 KIPS |
|
|
Text Classification (I8)
|
96% |
2314
3.33 KIPS |
|
|
Machine Translation (F32)
|
100% |
410
7.54 IPS |
|
|
Machine Translation (F16)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (I8)
|
99% |
415
7.64 IPS |
