Mac mini (2024)
Geekbench AI Score
10480
Single Precision Score
12329
Half Precision Score
11535
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | marcelo10igner |
| Upload Date | February 06 2026 01:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.7.4 (Build 24G517) |
| 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% |
4783
889.4 IPS |
|
|
Image Classification (HP)
|
100% |
5138
955.5 IPS |
|
|
Image Classification (Q)
|
96% |
4766
889.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
7635
123.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8461
137.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8098
131.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
29737
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31850
37.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31518
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4898
388.5 IPS |
|
|
Object Detection (HP)
|
100% |
5502
436.4 IPS |
|
|
Object Detection (Q)
|
92% |
5169
412.6 IPS |
|
|
Face Detection (SP)
|
100% |
12362
146.9 IPS |
|
|
Face Detection (HP)
|
100% |
16948
201.4 IPS |
|
|
Face Detection (Q)
|
100% |
13648
162.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21624
166.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23390
180.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
21604
168.7 IPS |
|
|
Style Transfer (SP)
|
100% |
61311
78.8 IPS |
|
|
Style Transfer (HP)
|
100% |
71067
91.4 IPS |
|
|
Style Transfer (Q)
|
96% |
70005
90.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12538
463.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12471
460.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11035
407.5 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5738
7.66 KIPS |
|
|
Text Classification (Q)
|
93% |
5483
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4933
85.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5315
91.9 IPS |
