Mac mini (2023)
Geekbench ML Score
6004
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 06:01 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 6 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 | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4651
870.2 IPS |
|
|
Image Classification (F16)
|
100% |
4701
879.8 IPS |
|
|
Image Classification (I8)
|
99% |
4162
778.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1869
31.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1821
30.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
1851
30.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
33992
41.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
36039
43.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
35268
42.7 IPS |
|
|
Object Detection (F32)
|
100% |
3137
234.2 IPS |
|
|
Object Detection (F16)
|
100% |
3204
239.2 IPS |
|
|
Object Detection (I8)
|
97% |
3133
233.9 IPS |
|
|
Face Detection (F32)
|
100% |
13405
159.4 IPS |
|
|
Face Detection (F16)
|
98% |
14310
170.1 IPS |
|
|
Face Detection (I8)
|
97% |
13660
162.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
22311
173.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
17072
132.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
21497
166.7 IPS |
|
|
Style Transfer (F32)
|
100% |
64953
85.4 IPS |
|
|
Style Transfer (F16)
|
100% |
62767
82.6 IPS |
|
|
Style Transfer (I8)
|
100% |
65068
85.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8227
293.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
9308
332.4 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8871
316.8 IPS |
|
|
Text Classification (F32)
|
100% |
686
985.3 IPS |
|
|
Text Classification (F16)
|
100% |
581
834.8 IPS |
|
|
Text Classification (I8)
|
96% |
624
897.4 IPS |
|
|
Machine Translation (F32)
|
100% |
674
12.4 IPS |
|
|
Machine Translation (F16)
|
100% |
658
12.1 IPS |
|
|
Machine Translation (I8)
|
99% |
679
12.5 IPS |
