Mac15,12
Geekbench ML Score
4705
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 05:33 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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% |
1588
297.1 IPS |
|
|
Image Classification (F16)
|
100% |
2891
541.0 IPS |
|
|
Image Classification (I8)
|
99% |
2923
547.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1127
18.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1445
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1441
24.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8641
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
16678
20.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
16657
20.2 IPS |
|
|
Object Detection (F32)
|
100% |
1746
130.4 IPS |
|
|
Object Detection (F16)
|
100% |
2861
213.6 IPS |
|
|
Object Detection (I8)
|
97% |
1741
130.0 IPS |
|
|
Face Detection (F32)
|
100% |
3552
42.2 IPS |
|
|
Face Detection (F16)
|
97% |
6730
80.0 IPS |
|
|
Face Detection (I8)
|
97% |
6681
79.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7200
55.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
13624
105.7 IPS |
|
|
Depth Estimation (I8)
|
99% |
13623
105.6 IPS |
|
|
Style Transfer (F32)
|
100% |
21965
28.9 IPS |
|
|
Style Transfer (F16)
|
100% |
33395
43.9 IPS |
|
|
Style Transfer (I8)
|
100% |
33422
44.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5327
190.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6181
220.7 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6183
220.8 IPS |
|
|
Text Classification (F32)
|
100% |
2567
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
4565
6.56 KIPS |
|
|
Text Classification (I8)
|
96% |
4568
6.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
1499
27.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1792
33.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1493
27.5 IPS |
