Mac mini (2024)
Geekbench AI Score
5411
Single Precision Score
9080
Half Precision Score
6983
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | December 07 2025 06:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
2067
384.4 IPS |
|
|
Image Classification (HP)
|
100% |
3056
568.3 IPS |
|
|
Image Classification (Q)
|
96% |
2168
404.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3546
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3865
62.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17248
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31723
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24259
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2496
198.0 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2679
213.5 IPS |
|
|
Face Detection (SP)
|
100% |
4725
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
7956
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4681
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8665
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14775
114.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10365
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25659
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
51274
65.9 IPS |
|
|
Style Transfer (Q)
|
96% |
39422
50.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10043
370.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5641
208.3 IPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5293
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5643
97.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9044
156.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9026
156.0 IPS |
