Mac mini (2024)
Geekbench AI Score
4844
Single Precision Score
7974
Half Precision Score
6420
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | miesupport |
| Upload Date | July 02 2025 11:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2096
389.8 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.3 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2161
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3232
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3701
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9971
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19383
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16740
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2746
218.8 IPS |
|
|
Face Detection (SP)
|
100% |
4390
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
7829
93.0 IPS |
|
|
Face Detection (Q)
|
100% |
4560
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8750
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14765
114.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10416
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21874
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38937
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
32239
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7118
262.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2885
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5523
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
4331
74.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7187
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7135
123.3 IPS |
