Mac mini (2024)
Geekbench AI Score
5788
Single Precision Score
9404
Half Precision Score
7201
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | JootecFromMars |
| Upload Date | November 08 2025 02:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2169
403.3 IPS |
|
|
Image Classification (HP)
|
100% |
3087
574.1 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3437
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3903
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17211
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34106
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26764
31.4 IPS |
|
|
Object Detection (SP)
|
100% |
2576
204.4 IPS |
|
|
Object Detection (HP)
|
97% |
3870
308.1 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
5094
60.5 IPS |
|
|
Face Detection (HP)
|
100% |
8649
102.8 IPS |
|
|
Face Detection (Q)
|
100% |
4821
57.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8831
68.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15039
116.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9850
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
30721
39.5 IPS |
|
|
Style Transfer (HP)
|
100% |
57644
74.1 IPS |
|
|
Style Transfer (Q)
|
96% |
43628
56.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9420
347.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5465
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5775
7.71 KIPS |
|
|
Text Classification (Q)
|
93% |
5582
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
5969
102.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9477
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9483
163.9 IPS |
