Mac15,12
Geekbench ML Score
9792
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | June 12 2024 02:32 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A5264n) |
| 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% |
3916
732.8 IPS |
|
|
Image Classification (F16)
|
100% |
7696
1.44 KIPS |
|
|
Image Classification (I8)
|
99% |
8531
1.60 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1496
25.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2029
33.9 IPS |
|
|
Image Segmentation (I8)
|
100% |
2057
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
23803
28.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
98430
119.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
100891
122.2 IPS |
|
|
Object Detection (F32)
|
100% |
3331
248.7 IPS |
|
|
Object Detection (F16)
|
100% |
5682
424.2 IPS |
|
|
Object Detection (I8)
|
97% |
2901
216.6 IPS |
|
|
Face Detection (F32)
|
100% |
10511
125.0 IPS |
|
|
Face Detection (F16)
|
97% |
14947
177.7 IPS |
|
|
Face Detection (I8)
|
96% |
14896
177.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
18040
139.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
46758
362.6 IPS |
|
|
Depth Estimation (I8)
|
37% |
44816
347.5 IPS |
|
|
Style Transfer (F32)
|
100% |
48450
63.7 IPS |
|
|
Style Transfer (F16)
|
100% |
142592
187.6 IPS |
|
|
Style Transfer (I8)
|
100% |
141640
186.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7112
254.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22619
807.8 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
22582
806.5 IPS |
|
|
Text Classification (F32)
|
100% |
2612
3.75 KIPS |
|
|
Text Classification (F16)
|
100% |
4565
6.56 KIPS |
|
|
Text Classification (I8)
|
96% |
4475
6.43 KIPS |
|
|
Machine Translation (F32)
|
100% |
878
16.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3088
56.8 IPS |
|
|
Machine Translation (I8)
|
99% |
562
10.3 IPS |
