Mac15,13
Geekbench ML Score
3271
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2025 02:00 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F5049f) |
| 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 | 4.04 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1655
309.8 IPS |
|
|
Image Classification (F16)
|
100% |
2223
416.0 IPS |
|
|
Image Classification (I8)
|
99% |
2203
412.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
767
12.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
742
12.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
691
11.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
4708
5.70 IPS |
|
|
Pose Estimation (F16)
|
100% |
12517
15.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14499
17.6 IPS |
|
|
Object Detection (F32)
|
100% |
1528
114.0 IPS |
|
|
Object Detection (F16)
|
100% |
1851
138.2 IPS |
|
|
Object Detection (I8)
|
97% |
1351
100.8 IPS |
|
|
Face Detection (F32)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (F16)
|
97% |
3194
38.0 IPS |
|
|
Face Detection (I8)
|
97% |
2974
35.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
3676
28.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
7205
55.9 IPS |
|
|
Depth Estimation (I8)
|
99% |
8235
63.9 IPS |
|
|
Style Transfer (F32)
|
100% |
18793
24.7 IPS |
|
|
Style Transfer (F16)
|
100% |
17665
23.2 IPS |
|
|
Style Transfer (I8)
|
100% |
26663
35.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4955
177.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5804
207.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6196
221.3 IPS |
|
|
Text Classification (F32)
|
100% |
2608
3.75 KIPS |
|
|
Text Classification (F16)
|
100% |
4167
5.99 KIPS |
|
|
Text Classification (I8)
|
96% |
4121
5.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
1205
22.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1009
18.6 IPS |
|
|
Machine Translation (I8)
|
99% |
727
13.4 IPS |
