Mac mini (2024)
Geekbench AI Score
5737
Single Precision Score
9178
Half Precision Score
7194
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | December 20 2025 01:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2145
398.9 IPS |
|
|
Image Classification (HP)
|
100% |
3093
575.1 IPS |
|
|
Image Classification (Q)
|
96% |
2210
412.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3891
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17289
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
32274
37.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
25097
29.4 IPS |
|
|
Object Detection (SP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (HP)
|
97% |
3886
309.4 IPS |
|
|
Object Detection (Q)
|
94% |
2761
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
4975
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
8389
99.7 IPS |
|
|
Face Detection (Q)
|
100% |
4754
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8774
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14976
115.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10593
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
31080
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
55073
70.8 IPS |
|
|
Style Transfer (Q)
|
96% |
41852
54.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7060
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8851
326.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5709
210.8 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5735
98.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9383
162.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9302
160.7 IPS |
