Mac mini (2023)
Geekbench ML Score
3467
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | idanbo |
| Upload Date | March 29 2024 08:45 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1483
277.5 IPS |
|
|
Image Classification (F16)
|
100% |
1862
348.5 IPS |
|
|
Image Classification (I8)
|
99% |
1863
348.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
797
13.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
810
13.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
810
13.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
5921
7.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
14057
17.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
14060
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1491
111.3 IPS |
|
|
Object Detection (F16)
|
100% |
2050
153.1 IPS |
|
|
Object Detection (I8)
|
97% |
1488
111.1 IPS |
|
|
Face Detection (F32)
|
100% |
2828
33.6 IPS |
|
|
Face Detection (F16)
|
97% |
4339
51.6 IPS |
|
|
Face Detection (I8)
|
97% |
4312
51.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
5353
41.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
8668
67.2 IPS |
|
|
Depth Estimation (I8)
|
99% |
8648
67.1 IPS |
|
|
Style Transfer (F32)
|
100% |
16900
22.2 IPS |
|
|
Style Transfer (F16)
|
100% |
26580
35.0 IPS |
|
|
Style Transfer (I8)
|
100% |
26592
35.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3804
135.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4991
178.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4960
177.1 IPS |
|
|
Text Classification (F32)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2955
4.25 KIPS |
|
|
Text Classification (I8)
|
96% |
2935
4.22 KIPS |
|
|
Machine Translation (F32)
|
100% |
1279
23.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1555
28.6 IPS |
|
|
Machine Translation (I8)
|
99% |
1275
23.5 IPS |
