Mac mini (2024)
Geekbench AI Score
5375
Single Precision Score
8886
Half Precision Score
6907
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | edsonchan |
| Upload Date | May 15 2025 11:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
3036
564.5 IPS |
|
|
Image Classification (Q)
|
96% |
2171
405.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3502
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3888
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17232
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31352
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
23869
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
97% |
3729
296.9 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.7 IPS |
|
|
Face Detection (SP)
|
100% |
4655
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
7903
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4498
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8638
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14011
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10052
78.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25520
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
48617
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38658
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5973
220.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10040
370.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5726
211.4 IPS |
|
|
Text Classification (SP)
|
100% |
2893
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5228
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5664
97.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8747
151.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8776
151.7 IPS |
