Mac mini (2024)
Geekbench AI Score
9924
Single Precision Score
12081
Half Precision Score
11011
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | BrantB |
| Upload Date | December 11 2025 01:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4831
898.4 IPS |
|
|
Image Classification (HP)
|
100% |
5265
979.2 IPS |
|
|
Image Classification (Q)
|
96% |
4821
900.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
7539
122.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8428
136.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8081
131.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
28858
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
32974
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32205
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4900
388.7 IPS |
|
|
Object Detection (HP)
|
100% |
5401
428.4 IPS |
|
|
Object Detection (Q)
|
92% |
5050
403.1 IPS |
|
|
Face Detection (SP)
|
100% |
12779
151.8 IPS |
|
|
Face Detection (HP)
|
100% |
17333
206.0 IPS |
|
|
Face Detection (Q)
|
100% |
13847
164.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21030
162.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23749
183.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
21347
166.7 IPS |
|
|
Style Transfer (SP)
|
100% |
60026
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
72074
92.7 IPS |
|
|
Style Transfer (Q)
|
96% |
70348
90.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12204
450.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12451
459.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10781
398.1 IPS |
|
|
Text Classification (SP)
|
100% |
3356
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
5929
7.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5797
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2724
46.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3828
65.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3184
55.0 IPS |
