MacBook Air (13-inch, M3, 2024) Mac15,12
Geekbench ML Score
5031
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 28 2024 04:29 AM |
| Views | 14 |
| 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3729
697.9 IPS |
|
|
Image Classification (F16)
|
100% |
3921
733.8 IPS |
|
|
Image Classification (I8)
|
99% |
3472
649.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
1655
27.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1812
30.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1781
29.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
19378
23.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
20576
24.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
20334
24.6 IPS |
|
|
Object Detection (F32)
|
100% |
3209
239.5 IPS |
|
|
Object Detection (F16)
|
100% |
3358
250.7 IPS |
|
|
Object Detection (I8)
|
97% |
2944
219.8 IPS |
|
|
Face Detection (F32)
|
100% |
10109
120.2 IPS |
|
|
Face Detection (F16)
|
98% |
12032
143.1 IPS |
|
|
Face Detection (I8)
|
97% |
11582
137.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
16700
129.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
18595
144.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
16838
130.6 IPS |
|
|
Style Transfer (F32)
|
100% |
43426
57.1 IPS |
|
|
Style Transfer (F16)
|
100% |
48450
63.7 IPS |
|
|
Style Transfer (I8)
|
100% |
48157
63.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6032
215.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6129
218.9 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6018
214.9 IPS |
|
|
Text Classification (F32)
|
100% |
612
879.8 IPS |
|
|
Text Classification (F16)
|
100% |
688
989.2 IPS |
|
|
Text Classification (I8)
|
96% |
695
999.2 IPS |
|
|
Machine Translation (F32)
|
100% |
693
12.8 IPS |
|
|
Machine Translation (F16)
|
100% |
749
13.8 IPS |
|
|
Machine Translation (I8)
|
99% |
641
11.8 IPS |
