Mac Mini M4 Pro 12c 64GB Mac mini (2024)
Geekbench AI Score
13579
Single Precision Score
15360
Half Precision Score
13577
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:07 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6803
1.27 KIPS |
|
|
Image Classification (HP)
|
100% |
7281
1.35 KIPS |
|
|
Image Classification (Q)
|
97% |
6213
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10548
171.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11034
178.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11229
182.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
46252
54.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48341
56.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
45823
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6668
528.9 IPS |
|
|
Object Detection (HP)
|
100% |
7293
578.5 IPS |
|
|
Object Detection (Q)
|
91% |
6055
483.9 IPS |
|
|
Face Detection (SP)
|
100% |
23387
277.9 IPS |
|
|
Face Detection (HP)
|
100% |
25875
307.5 IPS |
|
|
Face Detection (Q)
|
100% |
19003
225.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
30741
236.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33116
255.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
27189
212.5 IPS |
|
|
Style Transfer (SP)
|
100% |
104848
134.8 IPS |
|
|
Style Transfer (HP)
|
100% |
113202
145.5 IPS |
|
|
Style Transfer (Q)
|
96% |
107271
138.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16627
614.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17907
661.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13993
516.7 IPS |
|
|
Text Classification (SP)
|
100% |
2928
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5296
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5146
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2625
45.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2806
48.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2757
47.6 IPS |
