Mac mini (2024)
Geekbench AI Score
5750
Single Precision Score
8882
Half Precision Score
6884
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jwchess |
| Upload Date | March 07 2025 08:57 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.1 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3613
58.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18782
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
31848
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24140
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2669
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
7725
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4676
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8779
67.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13947
107.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9965
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
34921
44.9 IPS |
|
|
Style Transfer (HP)
|
100% |
48587
62.5 IPS |
|
|
Style Transfer (Q)
|
96% |
38571
49.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7032
259.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9528
351.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5279
194.9 IPS |
|
|
Text Classification (SP)
|
100% |
2918
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5231
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5133
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5732
98.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8795
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8824
152.5 IPS |
