MacBook Air (Late 2020)
Geekbench ML Score
6632
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 17 2024 02:57 AM |
| Views | 1 |
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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1556
291.1 IPS |
|
|
Image Classification (F16)
|
100% |
6222
1.16 KIPS |
|
|
Image Classification (I8)
|
99% |
6430
1.20 KIPS |
|
|
Image Segmentation (F32)
|
100% |
815
13.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
3801
63.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
3811
63.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
15240
18.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
62775
76.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
61252
74.2 IPS |
|
|
Object Detection (F32)
|
100% |
1601
119.5 IPS |
|
|
Object Detection (F16)
|
100% |
4014
299.6 IPS |
|
|
Object Detection (I8)
|
97% |
1658
123.8 IPS |
|
|
Face Detection (F32)
|
100% |
5450
64.8 IPS |
|
|
Face Detection (F16)
|
97% |
11584
137.7 IPS |
|
|
Face Detection (I8)
|
96% |
10472
124.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
10287
79.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
40791
316.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
43655
338.5 IPS |
|
|
Style Transfer (F32)
|
100% |
25223
33.2 IPS |
|
|
Style Transfer (F16)
|
100% |
115342
151.7 IPS |
|
|
Style Transfer (I8)
|
100% |
119192
156.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4895
174.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18417
657.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
18251
651.8 IPS |
|
|
Text Classification (F32)
|
100% |
421
604.4 IPS |
|
|
Text Classification (F16)
|
100% |
2271
3.26 KIPS |
|
|
Text Classification (I8)
|
96% |
2554
3.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
556
10.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1859
34.2 IPS |
|
|
Machine Translation (I8)
|
99% |
559
10.3 IPS |
