MacBook Air (13-inch, M3, 2024) Mac15,12
Geekbench ML Score
7774
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:31 AM |
| Views | 13 |
| Notes | MacBook Air (13-inch, M3, 2024)/M3/8Core CPU/8 Core GPU/8GB/256GBSSD |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac15,12 |
| Model ID | Mac15,12 |
| Motherboard | Mac15,12 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 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 | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3727
697.5 IPS |
|
|
Image Classification (F16)
|
100% |
7200
1.35 KIPS |
|
|
Image Classification (I8)
|
99% |
7857
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1690
28.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
2138
35.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
2118
35.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
19239
23.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
96344
116.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
98851
119.7 IPS |
|
|
Object Detection (F32)
|
100% |
2551
190.5 IPS |
|
|
Object Detection (F16)
|
100% |
5621
419.6 IPS |
|
|
Object Detection (I8)
|
97% |
2770
206.8 IPS |
|
|
Face Detection (F32)
|
100% |
9875
117.4 IPS |
|
|
Face Detection (F16)
|
97% |
12821
152.4 IPS |
|
|
Face Detection (I8)
|
96% |
12847
152.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
14941
115.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
44625
346.1 IPS |
|
|
Depth Estimation (I8)
|
37% |
40660
315.3 IPS |
|
|
Style Transfer (F32)
|
100% |
43193
56.8 IPS |
|
|
Style Transfer (F16)
|
100% |
148290
195.1 IPS |
|
|
Style Transfer (I8)
|
100% |
148916
195.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6159
220.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19252
687.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20319
725.6 IPS |
|
|
Text Classification (F32)
|
100% |
610
876.3 IPS |
|
|
Text Classification (F16)
|
100% |
697
1.00 KIPS |
|
|
Text Classification (I8)
|
96% |
694
997.8 IPS |
|
|
Machine Translation (F32)
|
100% |
696
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
3144
57.9 IPS |
|
|
Machine Translation (I8)
|
99% |
684
12.6 IPS |
