MacBook Air (2022)
Geekbench ML Score
4354
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2024 07:50 AM |
| Views | 2 |
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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3220
602.6 IPS |
|
|
Image Classification (F16)
|
100% |
3127
585.1 IPS |
|
|
Image Classification (I8)
|
99% |
2814
526.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1157
19.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1224
20.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1202
20.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
18723
22.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
20175
24.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
19861
24.1 IPS |
|
|
Object Detection (F32)
|
100% |
2655
198.2 IPS |
|
|
Object Detection (F16)
|
100% |
2683
200.3 IPS |
|
|
Object Detection (I8)
|
97% |
2401
179.3 IPS |
|
|
Face Detection (F32)
|
100% |
8330
99.0 IPS |
|
|
Face Detection (F16)
|
98% |
9200
109.4 IPS |
|
|
Face Detection (I8)
|
97% |
8800
104.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
13456
104.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
14583
113.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
13324
103.3 IPS |
|
|
Style Transfer (F32)
|
100% |
34751
45.7 IPS |
|
|
Style Transfer (F16)
|
100% |
38355
50.5 IPS |
|
|
Style Transfer (I8)
|
100% |
38194
50.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6777
242.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
7289
260.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6010
214.7 IPS |
|
|
Text Classification (F32)
|
100% |
798
1.15 KIPS |
|
|
Text Classification (F16)
|
100% |
655
941.8 IPS |
|
|
Text Classification (I8)
|
96% |
607
872.6 IPS |
|
|
Machine Translation (F32)
|
100% |
662
12.2 IPS |
|
|
Machine Translation (F16)
|
100% |
676
12.4 IPS |
|
|
Machine Translation (I8)
|
99% |
630
11.6 IPS |
