Mac mini (2024)
Geekbench AI Score
5740
Single Precision Score
8875
Half Precision Score
6824
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 01:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2520
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3919
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18918
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31725
37.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24175
28.3 IPS |
|
|
Object Detection (SP)
|
100% |
2477
196.5 IPS |
|
|
Object Detection (HP)
|
97% |
3829
304.9 IPS |
|
|
Object Detection (Q)
|
94% |
2648
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7876
93.6 IPS |
|
|
Face Detection (Q)
|
100% |
4557
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8649
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14240
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10104
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
35205
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
50616
65.1 IPS |
|
|
Style Transfer (Q)
|
96% |
38307
49.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6985
257.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9485
350.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5229
193.1 IPS |
|
|
Text Classification (SP)
|
100% |
2855
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
4984
6.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4983
6.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5790
99.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8691
150.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8715
150.6 IPS |
