MacBook Air (Late 2020)
Geekbench ML Score
3190
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | aureozanon |
| Upload Date | May 09 2024 01:58 AM |
| Views | 4 |
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% |
1517
283.8 IPS |
|
|
Image Classification (F16)
|
100% |
1541
288.3 IPS |
|
|
Image Classification (I8)
|
99% |
1458
272.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
804
13.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
914
15.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
911
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
15123
18.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
16200
19.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15864
19.2 IPS |
|
|
Object Detection (F32)
|
100% |
1485
110.9 IPS |
|
|
Object Detection (F16)
|
100% |
1369
102.2 IPS |
|
|
Object Detection (I8)
|
97% |
1466
109.4 IPS |
|
|
Face Detection (F32)
|
100% |
5615
66.8 IPS |
|
|
Face Detection (F16)
|
98% |
6417
76.3 IPS |
|
|
Face Detection (I8)
|
97% |
6332
75.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
10207
79.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
11200
86.9 IPS |
|
|
Depth Estimation (I8)
|
37% |
10364
80.4 IPS |
|
|
Style Transfer (F32)
|
100% |
26394
34.7 IPS |
|
|
Style Transfer (F16)
|
100% |
30619
40.3 IPS |
|
|
Style Transfer (I8)
|
100% |
29152
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6290
224.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6704
239.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
5440
194.3 IPS |
|
|
Text Classification (F32)
|
100% |
617
886.1 IPS |
|
|
Text Classification (F16)
|
100% |
611
878.8 IPS |
|
|
Text Classification (I8)
|
96% |
518
743.8 IPS |
|
|
Machine Translation (F32)
|
100% |
557
10.3 IPS |
|
|
Machine Translation (F16)
|
100% |
559
10.3 IPS |
|
|
Machine Translation (I8)
|
99% |
557
10.3 IPS |
