Mac15,12
Geekbench ML Score
5947
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | November 08 2024 05:34 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5073e) |
| 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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3614
676.3 IPS |
|
|
Image Classification (F16)
|
100% |
3799
710.8 IPS |
|
|
Image Classification (I8)
|
99% |
3798
710.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1557
26.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1698
28.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1666
27.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
19141
23.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
20333
24.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
20244
24.5 IPS |
|
|
Object Detection (F32)
|
100% |
2419
180.6 IPS |
|
|
Object Detection (F16)
|
100% |
3172
236.8 IPS |
|
|
Object Detection (I8)
|
97% |
2226
166.2 IPS |
|
|
Face Detection (F32)
|
100% |
9579
113.9 IPS |
|
|
Face Detection (F16)
|
98% |
11572
137.6 IPS |
|
|
Face Detection (I8)
|
97% |
11261
133.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
15349
119.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
18070
140.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
16063
124.6 IPS |
|
|
Style Transfer (F32)
|
100% |
42974
56.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47703
62.7 IPS |
|
|
Style Transfer (I8)
|
100% |
47753
62.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5806
207.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6049
216.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
9125
325.9 IPS |
|
|
Text Classification (F32)
|
100% |
2568
3.69 KIPS |
|
|
Text Classification (F16)
|
100% |
4648
6.68 KIPS |
|
|
Text Classification (I8)
|
96% |
4560
6.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
815
15.0 IPS |
|
|
Machine Translation (F16)
|
100% |
856
15.7 IPS |
|
|
Machine Translation (I8)
|
99% |
829
15.3 IPS |
