Mac mini (2024)
Geekbench AI Score
4866
Single Precision Score
7982
Half Precision Score
6415
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | petergrosse77 |
| Upload Date | October 24 2025 10:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
3330
619.2 IPS |
|
|
Image Classification (Q)
|
96% |
2332
435.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2143
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3160
51.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3601
58.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9973
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19392
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16761
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.5 IPS |
|
|
Object Detection (Q)
|
94% |
2744
218.7 IPS |
|
|
Face Detection (SP)
|
100% |
4351
51.7 IPS |
|
|
Face Detection (HP)
|
100% |
7731
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4518
53.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8747
67.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14804
114.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10396
81.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21928
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38891
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32249
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7268
268.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
2995
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5522
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5431
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7558
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7468
129.1 IPS |
