Mac mini (2024)
Geekbench AI Score
9933
Single Precision Score
12169
Half Precision Score
11037
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 01 2025 10:15 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
4827
897.6 IPS |
|
|
Image Classification (HP)
|
100% |
5171
961.7 IPS |
|
|
Image Classification (Q)
|
96% |
4819
899.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7603
123.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8411
136.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7914
128.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
28915
33.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
33304
38.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
32381
37.9 IPS |
|
|
Object Detection (SP)
|
100% |
4904
389.0 IPS |
|
|
Object Detection (HP)
|
100% |
5619
445.7 IPS |
|
|
Object Detection (Q)
|
92% |
5027
401.3 IPS |
|
|
Face Detection (SP)
|
100% |
12880
153.0 IPS |
|
|
Face Detection (HP)
|
100% |
16504
196.1 IPS |
|
|
Face Detection (Q)
|
100% |
13904
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21302
164.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
23605
181.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
22570
176.3 IPS |
|
|
Style Transfer (SP)
|
100% |
59604
76.6 IPS |
|
|
Style Transfer (HP)
|
100% |
73374
94.3 IPS |
|
|
Style Transfer (Q)
|
96% |
69940
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11896
439.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12406
458.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10879
401.7 IPS |
|
|
Text Classification (SP)
|
100% |
3306
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
5714
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5725
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
2796
48.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4320
74.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3163
54.7 IPS |
