Mac mini (2024)
Geekbench AI Score
9778
Single Precision Score
11946
Half Precision Score
10903
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | 3dworks |
| Upload Date | September 17 2025 08:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A5338b) |
| 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% |
4577
851.2 IPS |
|
|
Image Classification (HP)
|
100% |
4986
927.2 IPS |
|
|
Image Classification (Q)
|
96% |
4632
864.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7497
121.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8290
134.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7958
129.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29038
33.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
33004
38.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
32165
37.7 IPS |
|
|
Object Detection (SP)
|
100% |
4845
384.3 IPS |
|
|
Object Detection (HP)
|
100% |
5284
419.1 IPS |
|
|
Object Detection (Q)
|
92% |
5015
400.3 IPS |
|
|
Face Detection (SP)
|
100% |
12833
152.5 IPS |
|
|
Face Detection (HP)
|
100% |
17237
204.8 IPS |
|
|
Face Detection (Q)
|
100% |
13861
164.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
20836
160.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
23447
180.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21723
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
59200
76.1 IPS |
|
|
Style Transfer (HP)
|
100% |
72298
92.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69739
90.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11741
433.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12177
449.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10661
393.7 IPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5609
7.49 KIPS |
|
|
Text Classification (Q)
|
93% |
5759
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2749
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4115
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3097
53.5 IPS |
