Mac mini (2024)
Geekbench AI Score
5778
Single Precision Score
8852
Half Precision Score
6891
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | saronian |
| Upload Date | January 28 2025 08:45 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2074
385.8 IPS |
|
|
Image Classification (HP)
|
100% |
3038
564.9 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2506
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3536
57.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3929
63.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18942
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
30364
35.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23586
27.6 IPS |
|
|
Object Detection (SP)
|
100% |
2492
197.7 IPS |
|
|
Object Detection (HP)
|
97% |
3835
305.3 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4547
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7940
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4633
55.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8810
67.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13822
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9957
77.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35304
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
49812
64.0 IPS |
|
|
Style Transfer (Q)
|
96% |
38691
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7027
259.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9569
353.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5360
197.9 IPS |
|
|
Text Classification (SP)
|
100% |
2957
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5225
7.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5753
99.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8737
151.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8874
153.4 IPS |
