Mac15,12
Geekbench ML Score
8106
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 21 2024 09:22 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4093
766.0 IPS |
|
|
Image Classification (F16)
|
100% |
7388
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
7903
1.48 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1776
29.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2147
35.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2058
34.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
24038
29.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
96920
117.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
97284
117.8 IPS |
|
|
Object Detection (F32)
|
100% |
3407
254.3 IPS |
|
|
Object Detection (F16)
|
100% |
5196
387.9 IPS |
|
|
Object Detection (I8)
|
97% |
3147
234.9 IPS |
|
|
Face Detection (F32)
|
100% |
10805
128.5 IPS |
|
|
Face Detection (F16)
|
97% |
12858
152.9 IPS |
|
|
Face Detection (I8)
|
96% |
12837
152.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
18453
143.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
43693
338.8 IPS |
|
|
Depth Estimation (I8)
|
37% |
45178
350.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50463
66.4 IPS |
|
|
Style Transfer (F16)
|
100% |
145880
191.9 IPS |
|
|
Style Transfer (I8)
|
100% |
148871
195.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6522
232.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19634
701.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19455
694.8 IPS |
|
|
Text Classification (F32)
|
100% |
609
875.1 IPS |
|
|
Text Classification (F16)
|
100% |
687
987.3 IPS |
|
|
Text Classification (I8)
|
96% |
691
993.2 IPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3169
58.3 IPS |
|
|
Machine Translation (I8)
|
99% |
668
12.3 IPS |
