Mac mini (2024)
Geekbench AI Score
5769
Single Precision Score
9340
Half Precision Score
7174
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 26 2025 07:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2148
399.4 IPS |
|
|
Image Classification (HP)
|
100% |
3070
571.0 IPS |
|
|
Image Classification (Q)
|
96% |
2197
410.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3361
54.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3877
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17510
20.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
34021
39.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
26837
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
2580
204.6 IPS |
|
|
Object Detection (HP)
|
97% |
3900
310.5 IPS |
|
|
Object Detection (Q)
|
94% |
2763
220.2 IPS |
|
|
Face Detection (SP)
|
100% |
5108
60.7 IPS |
|
|
Face Detection (HP)
|
100% |
8546
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4810
57.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8859
68.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15308
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9679
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30651
39.4 IPS |
|
|
Style Transfer (HP)
|
100% |
57699
74.2 IPS |
|
|
Style Transfer (Q)
|
96% |
43901
56.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6929
255.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9200
339.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5289
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5572
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5546
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5953
102.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9537
164.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9546
165.0 IPS |
