MacBook Air (Late 2020)
Geekbench ML Score
2655
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 04:31 PM |
| Views | 2 |
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 | 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1319
246.9 IPS |
|
|
Image Classification (F16)
|
100% |
1365
255.3 IPS |
|
|
Image Classification (I8)
|
99% |
1545
289.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
718
12.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
746
12.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
762
12.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
13754
16.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
15388
18.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
15721
19.0 IPS |
|
|
Object Detection (F32)
|
100% |
1487
111.0 IPS |
|
|
Object Detection (F16)
|
100% |
1428
106.6 IPS |
|
|
Object Detection (I8)
|
97% |
1374
102.6 IPS |
|
|
Face Detection (F32)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (F16)
|
98% |
4960
59.0 IPS |
|
|
Face Detection (I8)
|
97% |
4724
56.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
7680
59.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8562
66.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
8425
65.3 IPS |
|
|
Style Transfer (F32)
|
100% |
26206
34.5 IPS |
|
|
Style Transfer (F16)
|
100% |
26337
34.6 IPS |
|
|
Style Transfer (I8)
|
100% |
29148
38.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4712
168.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4827
172.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4814
171.9 IPS |
|
|
Text Classification (F32)
|
100% |
311
446.7 IPS |
|
|
Text Classification (F16)
|
100% |
343
492.4 IPS |
|
|
Text Classification (I8)
|
96% |
341
489.5 IPS |
|
|
Machine Translation (F32)
|
100% |
466
8.57 IPS |
|
|
Machine Translation (F16)
|
100% |
471
8.66 IPS |
|
|
Machine Translation (I8)
|
99% |
466
8.58 IPS |
