Mac Mini M4 Pro 12c 64GB Mac mini (2024)
Geekbench AI Score
5772
Single Precision Score
36418
Half Precision Score
49217
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:04 AM |
| Views | 11 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2065
383.9 IPS |
|
|
Image Classification (HP)
|
100% |
17646
3.28 KIPS |
|
|
Image Classification (Q)
|
97% |
23659
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2493
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23267
377.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
32193
521.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18854
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123557
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
230384
270.0 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
100% |
18488
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
23500
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4586
54.5 IPS |
|
|
Face Detection (HP)
|
100% |
45065
535.5 IPS |
|
|
Face Detection (Q)
|
100% |
56886
675.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8782
67.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
108253
834.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166674
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
35882
46.1 IPS |
|
|
Style Transfer (HP)
|
100% |
236470
304.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300078
387.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6983
257.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42000
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78555
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
2926
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5435
7.26 KIPS |
|
|
Text Classification (Q)
|
93% |
5438
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5757
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16618
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
16641
287.6 IPS |
