Mac mini NE (2024) Mac mini (2024)
Geekbench AI Score
5787
Single Precision Score
36598
Half Precision Score
49419
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | WittyCobra624 |
| Upload Date | February 02 2025 08:49 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2077
386.2 IPS |
|
|
Image Classification (HP)
|
100% |
17304
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
21369
3.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2496
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23079
374.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
32143
521.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18936
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123318
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
231392
271.2 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
19439
1.54 KIPS |
|
|
Object Detection (Q)
|
91% |
23169
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
4546
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
43833
520.8 IPS |
|
|
Face Detection (Q)
|
100% |
64057
761.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8775
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
111111
856.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
177937
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
35547
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
237206
304.9 IPS |
|
|
Style Transfer (Q)
|
96% |
304169
392.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7050
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46555
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78740
2.91 KIPS |
|
|
Text Classification (SP)
|
100% |
2959
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5257
7.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5368
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5813
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
15927
274.3 IPS |
|
|
Machine Translation (Q)
|
98% |
16102
278.3 IPS |
