MacBook Air (15-inch, M3, 2024) Mac15,13
Geekbench ML Score
4193
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:18 AM |
| Views | 27 |
| Notes | MacBook Air (15-inch, M3, 2024)/M3/8Core CPU/10 Core GPU/8GB/256GBSSD |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac15,13 |
| Model ID | Mac15,13 |
| Motherboard | Mac15,13 |
| 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% |
1621
303.4 IPS |
|
|
Image Classification (F16)
|
100% |
2200
411.6 IPS |
|
|
Image Classification (I8)
|
99% |
2204
412.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1052
17.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1000
16.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
1000
16.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
8264
10.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
16345
19.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
16330
19.8 IPS |
|
|
Object Detection (F32)
|
100% |
1712
127.8 IPS |
|
|
Object Detection (F16)
|
100% |
2347
175.2 IPS |
|
|
Object Detection (I8)
|
97% |
1721
128.5 IPS |
|
|
Face Detection (F32)
|
100% |
3142
37.4 IPS |
|
|
Face Detection (F16)
|
97% |
5057
60.1 IPS |
|
|
Face Detection (I8)
|
97% |
5057
60.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
6730
52.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
9781
75.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
9823
76.2 IPS |
|
|
Style Transfer (F32)
|
100% |
21112
27.8 IPS |
|
|
Style Transfer (F16)
|
100% |
31060
40.9 IPS |
|
|
Style Transfer (I8)
|
100% |
30961
40.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5129
183.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6185
220.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6200
221.4 IPS |
|
|
Text Classification (F32)
|
100% |
2659
3.82 KIPS |
|
|
Text Classification (F16)
|
100% |
4384
6.30 KIPS |
|
|
Text Classification (I8)
|
96% |
4378
6.29 KIPS |
|
|
Machine Translation (F32)
|
100% |
1455
26.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
99% |
1457
26.8 IPS |
