Mac mini (2024)
Geekbench AI Score
5704
Single Precision Score
9322
Half Precision Score
7099
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | mkennedy |
| Upload Date | December 28 2025 11:57 PM |
| Views | 2 |
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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2143
398.4 IPS |
|
|
Image Classification (HP)
|
100% |
3080
572.9 IPS |
|
|
Image Classification (Q)
|
96% |
2108
393.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2280
37.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3831
62.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17393
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34027
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26456
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
2524
200.2 IPS |
|
|
Object Detection (HP)
|
97% |
3867
307.9 IPS |
|
|
Object Detection (Q)
|
94% |
2727
217.4 IPS |
|
|
Face Detection (SP)
|
100% |
4876
57.9 IPS |
|
|
Face Detection (HP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
4661
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15158
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9510
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29882
38.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56199
72.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43220
55.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7086
261.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9280
342.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5337
197.1 IPS |
|
|
Text Classification (SP)
|
100% |
3224
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5757
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
5917
101.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9549
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9489
164.0 IPS |
