Mac15,12
Geekbench ML Score
8299
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | AlexSwitch |
| Upload Date | August 17 2024 03:15 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
4070
761.6 IPS |
|
|
Image Classification (F16)
|
100% |
7295
1.37 KIPS |
|
|
Image Classification (I8)
|
99% |
8209
1.54 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1775
29.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2103
35.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
2131
35.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
23796
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
96921
117.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
98698
119.5 IPS |
|
|
Object Detection (F32)
|
100% |
2746
205.0 IPS |
|
|
Object Detection (F16)
|
100% |
5548
414.2 IPS |
|
|
Object Detection (I8)
|
97% |
3136
234.1 IPS |
|
|
Face Detection (F32)
|
100% |
10123
120.4 IPS |
|
|
Face Detection (F16)
|
97% |
12769
151.8 IPS |
|
|
Face Detection (I8)
|
96% |
12806
152.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
16265
126.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
37647
292.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
50033
388.0 IPS |
|
|
Style Transfer (F32)
|
100% |
49261
64.8 IPS |
|
|
Style Transfer (F16)
|
100% |
148497
195.3 IPS |
|
|
Style Transfer (I8)
|
100% |
147391
193.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6735
240.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
18330
654.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19394
692.6 IPS |
|
|
Text Classification (F32)
|
100% |
1375
1.98 KIPS |
|
|
Text Classification (F16)
|
100% |
681
978.2 IPS |
|
|
Text Classification (I8)
|
96% |
885
1.27 KIPS |
|
|
Machine Translation (F32)
|
100% |
719
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3420
62.9 IPS |
|
|
Machine Translation (I8)
|
99% |
664
12.2 IPS |
