Mac mini (2024)
Geekbench AI Score
5277
Single Precision Score
8989
Half Precision Score
6979
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | mystie3k |
| Upload Date | April 24 2025 08:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (HP)
|
100% |
3032
563.8 IPS |
|
|
Image Classification (Q)
|
96% |
2165
404.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3534
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16646
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32100
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24434
28.6 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3821
304.2 IPS |
|
|
Object Detection (Q)
|
94% |
2664
212.4 IPS |
|
|
Face Detection (SP)
|
100% |
4431
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
7609
90.4 IPS |
|
|
Face Detection (Q)
|
100% |
4545
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
13944
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10062
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25064
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
50608
65.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38756
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5916
218.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10066
371.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5782
213.5 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5361
7.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5313
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9045
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9110
157.4 IPS |
