Mac mini (2023)
Geekbench ML Score
3380
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 16 2024 06:24 PM |
| Views | 2 |
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, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.29 GHz |
| Cluster 1 | 8 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1402
262.4 IPS |
|
|
Image Classification (F16)
|
100% |
1748
327.1 IPS |
|
|
Image Classification (I8)
|
99% |
1747
326.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
865
14.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
869
14.5 IPS |
|
|
Image Segmentation (I8)
|
100% |
859
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
5933
7.18 IPS |
|
|
Pose Estimation (F16)
|
100% |
13659
16.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
13703
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
1407
105.0 IPS |
|
|
Object Detection (F16)
|
100% |
1924
143.6 IPS |
|
|
Object Detection (I8)
|
97% |
1402
104.7 IPS |
|
|
Face Detection (F32)
|
100% |
2798
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
4107
48.8 IPS |
|
|
Face Detection (I8)
|
97% |
4161
49.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
5320
41.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
8377
65.0 IPS |
|
|
Depth Estimation (I8)
|
99% |
8396
65.1 IPS |
|
|
Style Transfer (F32)
|
100% |
15981
21.0 IPS |
|
|
Style Transfer (F16)
|
100% |
25249
33.2 IPS |
|
|
Style Transfer (I8)
|
100% |
25283
33.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3810
136.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4750
169.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4698
167.8 IPS |
|
|
Text Classification (F32)
|
100% |
2115
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
3259
4.68 KIPS |
|
|
Text Classification (I8)
|
96% |
3240
4.66 KIPS |
|
|
Machine Translation (F32)
|
100% |
1109
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1490
27.4 IPS |
|
|
Machine Translation (I8)
|
99% |
1114
20.5 IPS |
