Mac15,13
Geekbench ML Score
8125
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | May 08 2024 03:20 PM |
| Views | 5 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4 (Build 23E214) |
| 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% |
4148
776.2 IPS |
|
|
Image Classification (F16)
|
100% |
7478
1.40 KIPS |
|
|
Image Classification (I8)
|
99% |
8005
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1781
29.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
2149
35.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2083
34.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23734
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
96755
117.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
98127
118.8 IPS |
|
|
Object Detection (F32)
|
100% |
2530
188.9 IPS |
|
|
Object Detection (F16)
|
100% |
5027
375.3 IPS |
|
|
Object Detection (I8)
|
97% |
2865
213.9 IPS |
|
|
Face Detection (F32)
|
100% |
10357
123.1 IPS |
|
|
Face Detection (F16)
|
97% |
12775
151.9 IPS |
|
|
Face Detection (I8)
|
96% |
12750
151.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
16495
127.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
41085
318.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
38942
302.0 IPS |
|
|
Style Transfer (F32)
|
100% |
48985
64.4 IPS |
|
|
Style Transfer (F16)
|
100% |
148828
195.8 IPS |
|
|
Style Transfer (I8)
|
100% |
148665
195.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7040
251.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19274
688.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19828
708.1 IPS |
|
|
Text Classification (F32)
|
100% |
1170
1.68 KIPS |
|
|
Text Classification (F16)
|
100% |
695
998.5 IPS |
|
|
Text Classification (I8)
|
96% |
695
999.4 IPS |
|
|
Machine Translation (F32)
|
100% |
724
13.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3375
62.1 IPS |
|
|
Machine Translation (I8)
|
99% |
677
12.5 IPS |
