Mac mini (2024)
Geekbench AI Score
5166
Single Precision Score
8847
Half Precision Score
6811
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | tlgeekbench |
| Upload Date | January 09 2026 04:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.3 (Build 24G419) |
| 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 | 4.12 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.1 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.8 IPS |
|
|
Image Classification (Q)
|
96% |
2114
394.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2261
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3717
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16017
18.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31130
36.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
23976
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2399
190.3 IPS |
|
|
Object Detection (HP)
|
97% |
3745
298.2 IPS |
|
|
Object Detection (Q)
|
94% |
2599
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
4363
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
7557
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4367
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14372
111.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10098
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25058
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
49977
64.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38332
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5818
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9937
366.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5994
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
2857
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5048
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8599
148.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8584
148.3 IPS |
