Mac mini (2023)
Geekbench ML Score
5134
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:48 AM |
| Views | 8 |
| Notes | Mac mini (2023)/M2 8Core CPU/10Core GPU/8GB/256GB |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | Mac mini (2023) |
| Model ID | Mac14,3 |
| Motherboard | Mac14,3 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.48 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% |
3465
648.4 IPS |
|
|
Image Classification (F16)
|
100% |
3496
654.2 IPS |
|
|
Image Classification (I8)
|
99% |
3104
580.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1399
23.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1445
24.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1462
24.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
23511
28.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
25051
30.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
24382
29.5 IPS |
|
|
Object Detection (F32)
|
100% |
2878
214.9 IPS |
|
|
Object Detection (F16)
|
100% |
2942
219.6 IPS |
|
|
Object Detection (I8)
|
97% |
2685
200.5 IPS |
|
|
Face Detection (F32)
|
100% |
9322
110.8 IPS |
|
|
Face Detection (F16)
|
98% |
10668
126.8 IPS |
|
|
Face Detection (I8)
|
97% |
10113
120.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
16386
127.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
17581
136.3 IPS |
|
|
Depth Estimation (I8)
|
37% |
15996
124.0 IPS |
|
|
Style Transfer (F32)
|
100% |
41117
54.1 IPS |
|
|
Style Transfer (F16)
|
100% |
47153
62.0 IPS |
|
|
Style Transfer (I8)
|
100% |
46883
61.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7863
280.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8304
296.5 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7931
283.2 IPS |
|
|
Text Classification (F32)
|
100% |
959
1.38 KIPS |
|
|
Text Classification (F16)
|
100% |
564
810.0 IPS |
|
|
Text Classification (I8)
|
96% |
700
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
883
16.3 IPS |
|
|
Machine Translation (F16)
|
100% |
920
16.9 IPS |
|
|
Machine Translation (I8)
|
99% |
848
15.6 IPS |
