Mac15,13
Geekbench ML Score
8367
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | July 19 2024 03:49 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
4112
769.4 IPS |
|
|
Image Classification (F16)
|
100% |
7390
1.38 KIPS |
|
|
Image Classification (I8)
|
99% |
7978
1.49 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1724
28.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2084
34.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2079
34.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
24003
29.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
96060
116.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
98265
119.0 IPS |
|
|
Object Detection (F32)
|
100% |
3401
253.9 IPS |
|
|
Object Detection (F16)
|
100% |
4679
349.3 IPS |
|
|
Object Detection (I8)
|
97% |
3142
234.6 IPS |
|
|
Face Detection (F32)
|
100% |
10889
129.5 IPS |
|
|
Face Detection (F16)
|
97% |
12673
150.7 IPS |
|
|
Face Detection (I8)
|
96% |
12771
151.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18435
143.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
39906
309.5 IPS |
|
|
Depth Estimation (I8)
|
37% |
45348
351.7 IPS |
|
|
Style Transfer (F32)
|
100% |
50113
65.9 IPS |
|
|
Style Transfer (F16)
|
100% |
144879
190.6 IPS |
|
|
Style Transfer (I8)
|
100% |
147183
193.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6494
231.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19605
700.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19786
706.6 IPS |
|
|
Text Classification (F32)
|
100% |
1343
1.93 KIPS |
|
|
Text Classification (F16)
|
100% |
931
1.34 KIPS |
|
|
Text Classification (I8)
|
96% |
786
1.13 KIPS |
|
|
Machine Translation (F32)
|
100% |
684
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
3283
60.4 IPS |
|
|
Machine Translation (I8)
|
99% |
665
12.2 IPS |
