Mac15,13
Geekbench ML Score
8094
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 17 2024 04:43 PM |
| Views | 1 |
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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4109
768.8 IPS |
|
|
Image Classification (F16)
|
100% |
7406
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
8011
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1706
28.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
2142
35.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2141
35.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
23942
29.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
95904
116.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
95855
116.1 IPS |
|
|
Object Detection (F32)
|
100% |
3378
252.2 IPS |
|
|
Object Detection (F16)
|
100% |
4689
350.1 IPS |
|
|
Object Detection (I8)
|
97% |
3139
234.4 IPS |
|
|
Face Detection (F32)
|
100% |
10923
129.9 IPS |
|
|
Face Detection (F16)
|
97% |
12914
153.5 IPS |
|
|
Face Detection (I8)
|
96% |
12944
153.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18448
143.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
42512
329.7 IPS |
|
|
Depth Estimation (I8)
|
37% |
46989
364.4 IPS |
|
|
Style Transfer (F32)
|
100% |
50340
66.2 IPS |
|
|
Style Transfer (F16)
|
100% |
148228
195.0 IPS |
|
|
Style Transfer (I8)
|
100% |
148559
195.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6680
238.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
19712
704.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
19979
713.5 IPS |
|
|
Text Classification (F32)
|
100% |
569
817.5 IPS |
|
|
Text Classification (F16)
|
100% |
682
980.3 IPS |
|
|
Text Classification (I8)
|
96% |
681
978.4 IPS |
|
|
Machine Translation (F32)
|
100% |
717
13.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3369
62.0 IPS |
|
|
Machine Translation (I8)
|
99% |
674
12.4 IPS |
