Mac mini (2023)
Geekbench ML Score
3454
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:58 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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1437
269.0 IPS |
|
|
Image Classification (F16)
|
100% |
1814
339.5 IPS |
|
|
Image Classification (I8)
|
99% |
1823
341.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
868
14.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
864
14.4 IPS |
|
|
Image Segmentation (I8)
|
100% |
865
14.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
5992
7.26 IPS |
|
|
Pose Estimation (F16)
|
100% |
13961
16.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
14023
17.0 IPS |
|
|
Object Detection (F32)
|
100% |
1456
108.7 IPS |
|
|
Object Detection (F16)
|
100% |
1930
144.1 IPS |
|
|
Object Detection (I8)
|
97% |
1459
108.9 IPS |
|
|
Face Detection (F32)
|
100% |
2895
34.4 IPS |
|
|
Face Detection (F16)
|
97% |
4284
50.9 IPS |
|
|
Face Detection (I8)
|
97% |
4219
50.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
5398
41.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8439
65.4 IPS |
|
|
Depth Estimation (I8)
|
99% |
8457
65.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16370
21.5 IPS |
|
|
Style Transfer (F16)
|
100% |
25822
34.0 IPS |
|
|
Style Transfer (I8)
|
100% |
25468
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3947
141.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4854
173.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4917
175.6 IPS |
|
|
Text Classification (F32)
|
100% |
2097
3.01 KIPS |
|
|
Text Classification (F16)
|
100% |
3277
4.71 KIPS |
|
|
Text Classification (I8)
|
96% |
3279
4.71 KIPS |
|
|
Machine Translation (F32)
|
100% |
1171
21.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1528
28.1 IPS |
|
|
Machine Translation (I8)
|
99% |
1160
21.4 IPS |
