MacBook Air (Late 2020)
Geekbench ML Score
6650
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | October 30 2024 10:21 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1480
276.9 IPS |
|
|
Image Classification (F16)
|
100% |
6133
1.15 KIPS |
|
|
Image Classification (I8)
|
99% |
6467
1.21 KIPS |
|
|
Image Segmentation (F32)
|
100% |
824
13.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1157
19.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1158
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
14841
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
63299
76.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
63466
76.9 IPS |
|
|
Object Detection (F32)
|
100% |
1542
115.1 IPS |
|
|
Object Detection (F16)
|
100% |
4005
299.0 IPS |
|
|
Object Detection (I8)
|
97% |
1489
111.2 IPS |
|
|
Face Detection (F32)
|
100% |
5785
68.8 IPS |
|
|
Face Detection (F16)
|
97% |
12151
144.5 IPS |
|
|
Face Detection (I8)
|
96% |
12178
144.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
10112
78.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
40956
317.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
44092
341.9 IPS |
|
|
Style Transfer (F32)
|
100% |
26472
34.8 IPS |
|
|
Style Transfer (F16)
|
100% |
115175
151.5 IPS |
|
|
Style Transfer (I8)
|
100% |
122566
161.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4510
161.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23678
845.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
23739
847.8 IPS |
|
|
Text Classification (F32)
|
100% |
2150
3.09 KIPS |
|
|
Text Classification (F16)
|
100% |
3664
5.27 KIPS |
|
|
Text Classification (I8)
|
96% |
3676
5.28 KIPS |
|
|
Machine Translation (F32)
|
100% |
493
9.07 IPS |
|
|
Machine Translation (F16)
|
100% |
1273
23.4 IPS |
|
|
Machine Translation (I8)
|
99% |
506
9.31 IPS |
