MacBook Air (2022)
Geekbench ML Score
4250
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 15 2024 01:22 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Air (2022) |
| Model ID | Mac14,2 |
| Motherboard | Mac14,2 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 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% |
3105
581.0 IPS |
|
|
Image Classification (F16)
|
100% |
3008
562.9 IPS |
|
|
Image Classification (I8)
|
99% |
2684
502.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1365
22.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1429
23.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
1369
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
18661
22.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
20037
24.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
19706
23.9 IPS |
|
|
Object Detection (F32)
|
100% |
2537
189.4 IPS |
|
|
Object Detection (F16)
|
100% |
2554
190.7 IPS |
|
|
Object Detection (I8)
|
97% |
2417
180.5 IPS |
|
|
Face Detection (F32)
|
100% |
8424
100.2 IPS |
|
|
Face Detection (F16)
|
98% |
9204
109.4 IPS |
|
|
Face Detection (I8)
|
97% |
8673
103.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
13326
103.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14057
109.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
12968
100.6 IPS |
|
|
Style Transfer (F32)
|
100% |
34633
45.6 IPS |
|
|
Style Transfer (F16)
|
100% |
39044
51.4 IPS |
|
|
Style Transfer (I8)
|
100% |
38136
50.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5546
198.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5842
208.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7763
277.2 IPS |
|
|
Text Classification (F32)
|
100% |
529
759.9 IPS |
|
|
Text Classification (F16)
|
100% |
572
822.5 IPS |
|
|
Text Classification (I8)
|
96% |
585
841.3 IPS |
|
|
Machine Translation (F32)
|
100% |
640
11.8 IPS |
|
|
Machine Translation (F16)
|
100% |
642
11.8 IPS |
|
|
Machine Translation (I8)
|
99% |
598
11.0 IPS |
