Mac mini (2024)
Geekbench AI Score
5755
Single Precision Score
36887
Half Precision Score
48559
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | coorelle |
| Upload Date | March 16 2025 12:46 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
17386
3.23 KIPS |
|
|
Image Classification (Q)
|
97% |
21748
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23079
374.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32298
523.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18890
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123324
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230797
270.5 IPS |
|
|
Object Detection (SP)
|
100% |
2493
197.8 IPS |
|
|
Object Detection (HP)
|
100% |
19718
1.56 KIPS |
|
|
Object Detection (Q)
|
91% |
23035
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
43667
518.9 IPS |
|
|
Face Detection (Q)
|
100% |
53855
639.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8833
68.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
111139
856.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
176142
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
36054
46.3 IPS |
|
|
Style Transfer (HP)
|
100% |
239246
307.6 IPS |
|
|
Style Transfer (Q)
|
96% |
303602
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7006
258.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46992
1.74 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77313
2.85 KIPS |
|
|
Text Classification (SP)
|
100% |
2932
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5280
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5413
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5779
99.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16594
285.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16197
279.9 IPS |
