MacBook Air (Late 2020)
Geekbench ML Score
3158
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aureozanon |
| Upload Date | May 09 2024 02:41 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1618
302.8 IPS |
|
|
Image Classification (F16)
|
100% |
1667
311.8 IPS |
|
|
Image Classification (I8)
|
99% |
1484
277.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
794
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
884
14.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
885
14.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
14884
18.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16015
19.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
15800
19.1 IPS |
|
|
Object Detection (F32)
|
100% |
1445
107.9 IPS |
|
|
Object Detection (F16)
|
100% |
1504
112.3 IPS |
|
|
Object Detection (I8)
|
97% |
1510
112.7 IPS |
|
|
Face Detection (F32)
|
100% |
5962
70.9 IPS |
|
|
Face Detection (F16)
|
98% |
6673
79.3 IPS |
|
|
Face Detection (I8)
|
97% |
6569
78.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
10230
79.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
11382
88.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
10493
81.4 IPS |
|
|
Style Transfer (F32)
|
100% |
26456
34.8 IPS |
|
|
Style Transfer (F16)
|
100% |
30402
40.0 IPS |
|
|
Style Transfer (I8)
|
100% |
30355
39.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4408
157.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5208
186.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5586
199.5 IPS |
|
|
Text Classification (F32)
|
100% |
479
689.0 IPS |
|
|
Text Classification (F16)
|
100% |
545
783.4 IPS |
|
|
Text Classification (I8)
|
96% |
567
814.5 IPS |
|
|
Machine Translation (F32)
|
100% |
590
10.9 IPS |
|
|
Machine Translation (F16)
|
100% |
605
11.1 IPS |
|
|
Machine Translation (I8)
|
99% |
596
11.0 IPS |
