Mac mini (2024)
Geekbench AI Score
4930
Single Precision Score
36758
Half Precision Score
52145
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2092
389.1 IPS |
|
|
Image Classification (HP)
|
100% |
17685
3.29 KIPS |
|
|
Image Classification (Q)
|
97% |
24763
4.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22212
360.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
30288
491.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123607
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
232596
272.6 IPS |
|
|
Object Detection (SP)
|
100% |
2441
193.6 IPS |
|
|
Object Detection (HP)
|
100% |
18081
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
26539
2.12 KIPS |
|
|
Face Detection (SP)
|
100% |
4251
50.5 IPS |
|
|
Face Detection (HP)
|
100% |
43779
520.2 IPS |
|
|
Face Detection (Q)
|
100% |
63979
760.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8475
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99726
768.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
169466
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24084
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
234908
302.0 IPS |
|
|
Style Transfer (Q)
|
96% |
323049
416.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6088
224.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52203
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87118
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3300
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5659
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4526
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16996
292.8 IPS |
|
|
Machine Translation (Q)
|
98% |
18594
321.3 IPS |
