Mac mini (2024)
Geekbench AI Score
5764
Single Precision Score
9280
Half Precision Score
7163
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | September 15 2025 08:41 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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% |
2144
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
2945
547.7 IPS |
|
|
Image Classification (Q)
|
96% |
2191
409.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3408
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17333
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33932
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26712
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.1 IPS |
|
|
Object Detection (HP)
|
97% |
3889
309.6 IPS |
|
|
Object Detection (Q)
|
94% |
2751
219.3 IPS |
|
|
Face Detection (SP)
|
100% |
5028
59.7 IPS |
|
|
Face Detection (HP)
|
100% |
8471
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4757
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8779
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15270
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9629
75.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30482
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
56948
73.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43775
56.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9319
344.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5413
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
3161
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5503
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5488
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5998
103.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9475
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9503
164.2 IPS |
