Mac mini (2023)
Geekbench ML Score
3460
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | March 27 2025 03:22 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.7.4 (Build 23H420) |
| 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% |
1459
273.0 IPS |
|
|
Image Classification (F16)
|
100% |
1818
340.3 IPS |
|
|
Image Classification (I8)
|
99% |
1825
341.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
878
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
877
14.7 IPS |
|
|
Image Segmentation (I8)
|
100% |
879
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
5985
7.25 IPS |
|
|
Pose Estimation (F16)
|
100% |
14201
17.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
14247
17.3 IPS |
|
|
Object Detection (F32)
|
100% |
1460
109.0 IPS |
|
|
Object Detection (F16)
|
100% |
1958
146.2 IPS |
|
|
Object Detection (I8)
|
97% |
1417
105.8 IPS |
|
|
Face Detection (F32)
|
100% |
2924
34.8 IPS |
|
|
Face Detection (F16)
|
97% |
4315
51.3 IPS |
|
|
Face Detection (I8)
|
97% |
4290
51.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
5464
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
8544
66.3 IPS |
|
|
Depth Estimation (I8)
|
99% |
8585
66.6 IPS |
|
|
Style Transfer (F32)
|
100% |
16643
21.9 IPS |
|
|
Style Transfer (F16)
|
100% |
25650
33.7 IPS |
|
|
Style Transfer (I8)
|
100% |
25454
33.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3936
140.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4901
175.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4889
174.6 IPS |
|
|
Text Classification (F32)
|
100% |
2121
3.05 KIPS |
|
|
Text Classification (F16)
|
100% |
3226
4.64 KIPS |
|
|
Text Classification (I8)
|
96% |
3287
4.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
1080
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1549
28.5 IPS |
|
|
Machine Translation (I8)
|
99% |
1107
20.4 IPS |
