Mac15,12
Geekbench ML Score
6037
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | Jasonious |
| Upload Date | February 07 2025 11:04 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
3617
676.9 IPS |
|
|
Image Classification (F16)
|
100% |
3848
720.0 IPS |
|
|
Image Classification (I8)
|
99% |
3852
720.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1425
23.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1557
26.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1567
26.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
18969
23.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
20180
24.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
20098
24.3 IPS |
|
|
Object Detection (F32)
|
100% |
2889
215.7 IPS |
|
|
Object Detection (F16)
|
100% |
3247
242.4 IPS |
|
|
Object Detection (I8)
|
97% |
2778
207.4 IPS |
|
|
Face Detection (F32)
|
100% |
9395
111.7 IPS |
|
|
Face Detection (F16)
|
98% |
11179
132.9 IPS |
|
|
Face Detection (I8)
|
97% |
11102
132.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
16005
124.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
15616
121.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
15771
122.3 IPS |
|
|
Style Transfer (F32)
|
100% |
42940
56.5 IPS |
|
|
Style Transfer (F16)
|
100% |
47848
62.9 IPS |
|
|
Style Transfer (I8)
|
100% |
47920
63.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5796
207.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9053
323.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
6074
216.9 IPS |
|
|
Text Classification (F32)
|
100% |
2657
3.82 KIPS |
|
|
Text Classification (F16)
|
100% |
4801
6.90 KIPS |
|
|
Text Classification (I8)
|
96% |
4791
6.89 KIPS |
|
|
Machine Translation (F32)
|
100% |
929
17.1 IPS |
|
|
Machine Translation (F16)
|
100% |
951
17.5 IPS |
|
|
Machine Translation (I8)
|
99% |
915
16.8 IPS |
