Mac mini (2024)
Geekbench AI Score
16704
Single Precision Score
18888
Half Precision Score
17676
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | September 15 2025 08:39 PM |
| Views | 3 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7989
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
8283
1.54 KIPS |
|
|
Image Classification (Q)
|
96% |
7496
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14203
230.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15028
243.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
14412
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
54457
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59437
69.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
57411
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
6908
547.9 IPS |
|
|
Object Detection (HP)
|
100% |
7345
582.6 IPS |
|
|
Object Detection (Q)
|
92% |
7071
564.4 IPS |
|
|
Face Detection (SP)
|
100% |
25609
304.3 IPS |
|
|
Face Detection (HP)
|
100% |
29732
353.3 IPS |
|
|
Face Detection (Q)
|
100% |
24687
293.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
33039
254.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35030
269.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
32052
250.4 IPS |
|
|
Style Transfer (SP)
|
100% |
120241
154.6 IPS |
|
|
Style Transfer (HP)
|
100% |
134094
172.4 IPS |
|
|
Style Transfer (Q)
|
96% |
131215
169.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20650
762.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21511
794.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18679
689.7 IPS |
|
|
Text Classification (SP)
|
100% |
3179
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5486
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5440
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5934
102.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6453
111.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6438
111.3 IPS |
