Mac15,13
Geekbench ML Score
7752
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2024 06:31 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.3 (Build 23D2057) |
| 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4214
788.5 IPS |
|
|
Image Classification (F16)
|
100% |
7412
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
7857
1.47 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1704
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2100
35.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2071
34.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23719
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
96684
117.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
96861
117.3 IPS |
|
|
Object Detection (F32)
|
100% |
2431
181.5 IPS |
|
|
Object Detection (F16)
|
100% |
4947
369.3 IPS |
|
|
Object Detection (I8)
|
97% |
2954
220.6 IPS |
|
|
Face Detection (F32)
|
100% |
10405
123.7 IPS |
|
|
Face Detection (F16)
|
97% |
14941
177.6 IPS |
|
|
Face Detection (I8)
|
96% |
15054
179.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
15134
117.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
40010
310.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
46502
360.6 IPS |
|
|
Style Transfer (F32)
|
100% |
50076
65.9 IPS |
|
|
Style Transfer (F16)
|
100% |
149535
196.7 IPS |
|
|
Style Transfer (I8)
|
100% |
146339
192.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6699
239.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17704
632.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20381
727.9 IPS |
|
|
Text Classification (F32)
|
100% |
436
627.1 IPS |
|
|
Text Classification (F16)
|
100% |
622
894.0 IPS |
|
|
Text Classification (I8)
|
96% |
689
989.9 IPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
2165
39.8 IPS |
|
|
Machine Translation (I8)
|
99% |
664
12.2 IPS |
