Mac mini (2024)
Geekbench AI Score
5790
Single Precision Score
9471
Half Precision Score
7224
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 06 2026 07:11 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (HP)
|
100% |
3064
569.9 IPS |
|
|
Image Classification (Q)
|
96% |
2195
409.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2418
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3595
58.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3910
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17332
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34098
39.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
26707
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2565
203.5 IPS |
|
|
Object Detection (HP)
|
97% |
3905
310.9 IPS |
|
|
Object Detection (Q)
|
94% |
2767
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
5039
59.9 IPS |
|
|
Face Detection (HP)
|
100% |
8604
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4798
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8806
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15018
116.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10024
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30630
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57076
73.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43209
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9545
352.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5416
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
3217
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5722
7.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5909
101.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9573
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9478
163.8 IPS |
