Mac mini (2024)
Geekbench AI Score
5784
Single Precision Score
9328
Half Precision Score
7206
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | davidsamson |
| Upload Date | October 26 2025 02:11 PM |
| Views | 6 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.7 IPS |
|
|
Image Classification (HP)
|
100% |
2959
550.3 IPS |
|
|
Image Classification (Q)
|
96% |
2152
401.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3512
56.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17263
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33935
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
26730
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
2586
205.1 IPS |
|
|
Object Detection (HP)
|
97% |
3896
310.2 IPS |
|
|
Object Detection (Q)
|
94% |
2761
220.1 IPS |
|
|
Face Detection (SP)
|
100% |
5032
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
8527
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4786
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8788
67.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14994
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10177
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
30461
39.2 IPS |
|
|
Style Transfer (HP)
|
100% |
57061
73.4 IPS |
|
|
Style Transfer (Q)
|
96% |
43842
56.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7069
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9430
348.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5343
197.3 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5596
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5587
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5989
103.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9435
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9563
165.3 IPS |
