Mac15,12
Geekbench ML Score
4707
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Jasonious |
| Upload Date | February 07 2025 02:12 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1560
291.8 IPS |
|
|
Image Classification (F16)
|
100% |
2907
544.0 IPS |
|
|
Image Classification (I8)
|
99% |
2908
544.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1095
18.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1397
23.3 IPS |
|
|
Image Segmentation (I8)
|
100% |
1400
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
8561
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
16575
20.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
16608
20.1 IPS |
|
|
Object Detection (F32)
|
100% |
1738
129.7 IPS |
|
|
Object Detection (F16)
|
100% |
2857
213.3 IPS |
|
|
Object Detection (I8)
|
97% |
1739
129.9 IPS |
|
|
Face Detection (F32)
|
100% |
3504
41.7 IPS |
|
|
Face Detection (F16)
|
97% |
6723
79.9 IPS |
|
|
Face Detection (I8)
|
97% |
6685
79.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
7186
55.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
13615
105.6 IPS |
|
|
Depth Estimation (I8)
|
99% |
13608
105.5 IPS |
|
|
Style Transfer (F32)
|
100% |
21938
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
33353
43.9 IPS |
|
|
Style Transfer (I8)
|
100% |
33362
43.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5299
189.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6193
221.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6223
222.2 IPS |
|
|
Text Classification (F32)
|
100% |
2664
3.83 KIPS |
|
|
Text Classification (F16)
|
100% |
4815
6.92 KIPS |
|
|
Text Classification (I8)
|
96% |
4781
6.87 KIPS |
|
|
Machine Translation (F32)
|
100% |
1517
27.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1812
33.3 IPS |
|
|
Machine Translation (I8)
|
99% |
1505
27.7 IPS |
