MacBook Air (15-inch, 2023)
Geekbench ML Score
4834
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 09 2024 10:47 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.2.1 (Build 23C71) |
| Model | MacBook Air (15-inch, 2023) |
| Model ID | Mac14,15 |
| Motherboard | Mac14,15 |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3498
654.6 IPS |
|
|
Image Classification (F16)
|
100% |
3399
636.1 IPS |
|
|
Image Classification (I8)
|
99% |
3034
567.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1243
20.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1279
21.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1250
20.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
23152
28.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
24851
30.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
24158
29.3 IPS |
|
|
Object Detection (F32)
|
100% |
2882
215.2 IPS |
|
|
Object Detection (F16)
|
100% |
2849
212.7 IPS |
|
|
Object Detection (I8)
|
97% |
2591
193.4 IPS |
|
|
Face Detection (F32)
|
100% |
9233
109.8 IPS |
|
|
Face Detection (F16)
|
97% |
10263
122.0 IPS |
|
|
Face Detection (I8)
|
96% |
9697
115.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16143
125.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
17199
133.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
15718
121.9 IPS |
|
|
Style Transfer (F32)
|
100% |
41489
54.6 IPS |
|
|
Style Transfer (F16)
|
100% |
47064
61.9 IPS |
|
|
Style Transfer (I8)
|
100% |
46747
61.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7097
253.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6935
247.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6905
246.6 IPS |
|
|
Text Classification (F32)
|
100% |
1080
1.55 KIPS |
|
|
Text Classification (F16)
|
100% |
712
1.02 KIPS |
|
|
Text Classification (I8)
|
96% |
553
794.9 IPS |
|
|
Machine Translation (F32)
|
100% |
675
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
697
12.8 IPS |
|
|
Machine Translation (I8)
|
99% |
642
11.8 IPS |
