Mac mini (2024)
Geekbench AI Score
14254
Single Precision Score
15839
Half Precision Score
14703
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 13 2025 02:34 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6760
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7243
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6633
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12353
200.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12888
208.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
12031
195.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44604
52.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
46904
54.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
46209
54.1 IPS |
|
|
Object Detection (SP)
|
100% |
6471
513.3 IPS |
|
|
Object Detection (HP)
|
100% |
6955
551.7 IPS |
|
|
Object Detection (Q)
|
92% |
6309
503.6 IPS |
|
|
Face Detection (SP)
|
100% |
23123
274.7 IPS |
|
|
Face Detection (HP)
|
100% |
24838
295.1 IPS |
|
|
Face Detection (Q)
|
100% |
20999
249.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
30780
237.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
31464
242.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
29173
227.9 IPS |
|
|
Style Transfer (SP)
|
100% |
103491
133.0 IPS |
|
|
Style Transfer (HP)
|
100% |
109467
140.7 IPS |
|
|
Style Transfer (Q)
|
96% |
107942
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17164
633.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17286
638.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15458
570.8 IPS |
|
|
Text Classification (SP)
|
100% |
2901
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5240
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5257
7.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
3918
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4212
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3777
65.3 IPS |
