Mac mini (2024)
Geekbench AI Score
4855
Single Precision Score
7994
Half Precision Score
6414
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | callearvid |
| Upload Date | November 29 2025 03:42 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2109
392.3 IPS |
|
|
Image Classification (HP)
|
100% |
3338
620.7 IPS |
|
|
Image Classification (Q)
|
96% |
2319
433.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3192
51.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3599
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9994
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19439
22.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
16756
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2475
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3819
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
7800
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4504
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8767
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14814
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10405
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21870
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38920
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32249
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6087
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7276
268.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
2927
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5488
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7503
129.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7402
127.9 IPS |
