Mac mini (2024)
Geekbench AI Score
5371
Single Precision Score
9118
Half Precision Score
7002
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | September 06 2025 12:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.6.1 (Build 24G90) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2070
384.9 IPS |
|
|
Image Classification (HP)
|
100% |
3027
562.9 IPS |
|
|
Image Classification (Q)
|
96% |
2172
405.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2288
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3551
57.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3909
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17091
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
32444
37.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
24629
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.2 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
4671
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4623
54.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8615
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14751
114.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10237
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25882
33.3 IPS |
|
|
Style Transfer (HP)
|
100% |
51777
66.6 IPS |
|
|
Style Transfer (Q)
|
96% |
39317
50.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5972
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10024
370.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5721
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
2908
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
5236
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5463
94.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9117
157.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9146
158.0 IPS |
