Mac mini (2024)
Geekbench AI Score
5035
Single Precision Score
36783
Half Precision Score
49709
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dylanschell |
| Upload Date | November 15 2025 03:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1822
338.9 IPS |
|
|
Image Classification (HP)
|
100% |
17399
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22245
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23393
379.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32688
529.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14637
17.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122474
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
229760
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
19803
1.57 KIPS |
|
|
Object Detection (Q)
|
91% |
23994
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
4062
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
43326
514.8 IPS |
|
|
Face Detection (Q)
|
100% |
61703
733.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7695
59.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
109659
844.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
177052
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
26405
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236212
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
323532
417.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6600
243.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48798
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78741
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3112
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5298
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4833
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15831
272.7 IPS |
|
|
Machine Translation (Q)
|
98% |
15712
271.5 IPS |
