Mac mini (2024)
Geekbench AI Score
5736
Single Precision Score
9323
Half Precision Score
7134
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jimscard |
| Upload Date | June 27 2025 01:34 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 16.0 (Build 25A5295e) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2140
398.0 IPS |
|
|
Image Classification (HP)
|
100% |
3071
571.1 IPS |
|
|
Image Classification (Q)
|
96% |
2165
404.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3550
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3906
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17455
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34189
39.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
26636
31.2 IPS |
|
|
Object Detection (SP)
|
100% |
2566
203.6 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
5005
59.5 IPS |
|
|
Face Detection (HP)
|
100% |
8624
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
4802
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8775
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14921
115.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9665
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30553
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
58206
74.8 IPS |
|
|
Style Transfer (Q)
|
96% |
44146
57.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7051
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9481
350.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5545
204.8 IPS |
|
|
Text Classification (SP)
|
100% |
3031
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5147
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5104
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
5867
101.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9356
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9464
163.5 IPS |
