Mac mini (2024) High Power Mac mini (2024)
Geekbench AI Score
5369
Single Precision Score
8924
Half Precision Score
6974
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | July 02 2025 08:43 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2058
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
3017
561.1 IPS |
|
|
Image Classification (Q)
|
96% |
2133
398.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3397
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3895
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17471
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
32099
37.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
24336
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2491
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2646
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
4584
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
7794
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4578
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8590
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14235
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10263
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25888
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
49877
64.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38752
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5948
219.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9925
366.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6003
221.7 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5168
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5121
6.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5565
95.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9063
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9102
157.3 IPS |
