Mac mini (2024)
Geekbench AI Score
5326
Single Precision Score
8965
Half Precision Score
6897
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | May 25 2025 07:11 PM |
| Views | 6 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2059
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
3040
565.4 IPS |
|
|
Image Classification (Q)
|
96% |
2175
406.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2260
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3404
55.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3933
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17226
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31909
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23718
27.8 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
97% |
3823
304.3 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
4576
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
7853
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4574
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14537
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9865
77.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25344
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
48501
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
38292
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5964
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9972
368.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5587
206.3 IPS |
|
|
Text Classification (SP)
|
100% |
2896
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5278
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5201
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5388
92.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9118
157.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9014
155.8 IPS |
