Mac mini (2024)
Geekbench AI Score
5311
Single Precision Score
37225
Half Precision Score
51687
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Lingyis |
| Upload Date | November 24 2025 03:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
17943
3.34 KIPS |
|
|
Image Classification (Q)
|
97% |
23204
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23224
376.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33005
535.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17124
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
122468
142.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230626
270.3 IPS |
|
|
Object Detection (SP)
|
100% |
2444
193.9 IPS |
|
|
Object Detection (HP)
|
100% |
20067
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24670
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
41194
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
67326
800.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8619
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
111225
856.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
180204
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
24919
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
237339
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
304227
392.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5951
219.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46759
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83550
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5985
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6121
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5310
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16395
282.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16546
285.9 IPS |
