Mac mini (2024)
Geekbench AI Score
5735
Single Precision Score
9298
Half Precision Score
7126
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | daveporter |
| Upload Date | September 26 2025 03:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2156
400.9 IPS |
|
|
Image Classification (HP)
|
100% |
3065
570.0 IPS |
|
|
Image Classification (Q)
|
96% |
2146
400.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2302
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3393
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3860
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17222
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
34014
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26721
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2575
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
3870
308.1 IPS |
|
|
Object Detection (Q)
|
94% |
2748
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
5000
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
8403
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4769
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8786
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15095
116.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9665
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30307
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56557
72.7 IPS |
|
|
Style Transfer (Q)
|
96% |
42872
55.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7097
262.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9199
339.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5313
196.2 IPS |
|
|
Text Classification (SP)
|
100% |
3183
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5622
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5823
100.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9512
164.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9444
163.2 IPS |
