Mac mini (2024)
Geekbench AI Score
16887
Single Precision Score
18974
Half Precision Score
17711
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveporter |
| Upload Date | September 26 2025 03:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8161
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8465
1.57 KIPS |
|
|
Image Classification (Q)
|
96% |
7562
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14428
233.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15170
245.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14466
234.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54424
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59624
69.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57914
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
7475
592.9 IPS |
|
|
Object Detection (HP)
|
100% |
7299
579.0 IPS |
|
|
Object Detection (Q)
|
92% |
6957
555.3 IPS |
|
|
Face Detection (SP)
|
100% |
25515
303.2 IPS |
|
|
Face Detection (HP)
|
100% |
29724
353.2 IPS |
|
|
Face Detection (Q)
|
100% |
24205
287.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
33000
254.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35007
269.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
32237
251.8 IPS |
|
|
Style Transfer (SP)
|
100% |
121105
155.7 IPS |
|
|
Style Transfer (HP)
|
100% |
134734
173.2 IPS |
|
|
Style Transfer (Q)
|
96% |
130752
168.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20585
760.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21375
789.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18966
700.3 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5585
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5862
101.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6336
109.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6376
110.2 IPS |
