MacBook Air (13-inch, M3, 2024) Mac15,12
Geekbench ML Score
4225
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:26 AM |
| Views | 17 |
| 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1646
308.1 IPS |
|
|
Image Classification (F16)
|
100% |
2224
416.3 IPS |
|
|
Image Classification (I8)
|
99% |
2225
416.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1062
17.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1026
17.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1019
17.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
8247
9.99 IPS |
|
|
Pose Estimation (F16)
|
100% |
16403
19.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
16346
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1744
130.2 IPS |
|
|
Object Detection (F16)
|
100% |
2380
177.7 IPS |
|
|
Object Detection (I8)
|
97% |
1745
130.3 IPS |
|
|
Face Detection (F32)
|
100% |
3209
38.2 IPS |
|
|
Face Detection (F16)
|
97% |
5088
60.5 IPS |
|
|
Face Detection (I8)
|
97% |
5049
60.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
6783
52.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
10062
78.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
10063
78.0 IPS |
|
|
Style Transfer (F32)
|
100% |
21102
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31298
41.2 IPS |
|
|
Style Transfer (I8)
|
100% |
31373
41.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5110
182.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6188
221.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6218
222.1 IPS |
|
|
Text Classification (F32)
|
100% |
2637
3.79 KIPS |
|
|
Text Classification (F16)
|
100% |
4312
6.20 KIPS |
|
|
Text Classification (I8)
|
96% |
4306
6.19 KIPS |
|
|
Machine Translation (F32)
|
100% |
1471
27.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1696
31.2 IPS |
|
|
Machine Translation (I8)
|
99% |
1467
27.0 IPS |
