Mac mini (2024)
Geekbench AI Score
5373
Single Precision Score
8861
Half Precision Score
6904
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| Upload Date | July 01 2025 03:37 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.8 IPS |
|
|
Image Classification (Q)
|
96% |
2174
405.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3895
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17279
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
30791
35.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
23967
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3830
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4682
55.6 IPS |
|
|
Face Detection (HP)
|
100% |
7848
93.3 IPS |
|
|
Face Detection (Q)
|
100% |
4595
54.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
13711
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10028
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25502
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
49771
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38701
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5979
220.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10084
372.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5651
208.7 IPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5130
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
5652
97.3 IPS |
|
|
Machine Translation (HP)
|
98% |
8674
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8699
150.3 IPS |
