Mac mini (2023)
Geekbench ML Score
5984
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | August 15 2024 05:55 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% |
4659
871.7 IPS |
|
|
Image Classification (F16)
|
100% |
4781
894.6 IPS |
|
|
Image Classification (I8)
|
99% |
4165
779.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1878
31.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1905
31.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
1896
31.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
34077
41.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
36013
43.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
35509
43.0 IPS |
|
|
Object Detection (F32)
|
100% |
3181
237.5 IPS |
|
|
Object Detection (F16)
|
100% |
3217
240.2 IPS |
|
|
Object Detection (I8)
|
97% |
3104
231.7 IPS |
|
|
Face Detection (F32)
|
100% |
13781
163.9 IPS |
|
|
Face Detection (F16)
|
98% |
14346
170.6 IPS |
|
|
Face Detection (I8)
|
97% |
13627
162.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
22983
178.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
23470
182.0 IPS |
|
|
Depth Estimation (I8)
|
37% |
22172
171.9 IPS |
|
|
Style Transfer (F32)
|
100% |
61641
81.1 IPS |
|
|
Style Transfer (F16)
|
100% |
61809
81.3 IPS |
|
|
Style Transfer (I8)
|
100% |
66699
87.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
7735
276.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8437
301.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
8256
294.9 IPS |
|
|
Text Classification (F32)
|
100% |
592
850.9 IPS |
|
|
Text Classification (F16)
|
100% |
548
788.0 IPS |
|
|
Text Classification (I8)
|
96% |
547
786.2 IPS |
|
|
Machine Translation (F32)
|
100% |
653
12.0 IPS |
|
|
Machine Translation (F16)
|
100% |
679
12.5 IPS |
|
|
Machine Translation (I8)
|
99% |
678
12.5 IPS |
