Mac mini (2024)
Geekbench AI Score
5572
Single Precision Score
9076
Half Precision Score
6970
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | November 26 2025 11:30 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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 | 4.45 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.6 IPS |
|
|
Image Classification (HP)
|
100% |
2910
541.2 IPS |
|
|
Image Classification (Q)
|
96% |
2094
391.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3438
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3787
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17176
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
33592
39.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
26127
30.6 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3780
301.0 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8115
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4562
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8451
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14363
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9987
77.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29666
38.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55576
71.4 IPS |
|
|
Style Transfer (Q)
|
96% |
41689
53.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6956
256.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9322
344.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5253
194.0 IPS |
|
|
Text Classification (SP)
|
100% |
3160
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5560
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5478
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5517
95.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8901
153.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8929
154.3 IPS |
