Mac mini (2024)
Geekbench AI Score
8728
Single Precision Score
10474
Half Precision Score
9507
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | TechHut |
| Upload Date | April 09 2025 05:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4793
891.3 IPS |
|
|
Image Classification (HP)
|
100% |
4944
919.4 IPS |
|
|
Image Classification (Q)
|
97% |
4368
815.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4921
79.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6993
113.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7548
122.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
29966
35.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
32067
37.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
30549
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
4983
395.3 IPS |
|
|
Object Detection (HP)
|
100% |
5434
431.1 IPS |
|
|
Object Detection (Q)
|
91% |
4633
370.2 IPS |
|
|
Face Detection (SP)
|
100% |
13023
154.7 IPS |
|
|
Face Detection (HP)
|
100% |
16622
197.5 IPS |
|
|
Face Detection (Q)
|
100% |
12469
148.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21289
164.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23564
181.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
20207
158.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58665
75.4 IPS |
|
|
Style Transfer (HP)
|
100% |
72012
92.6 IPS |
|
|
Style Transfer (Q)
|
96% |
67753
87.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12500
461.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13749
507.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10650
393.3 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1243
21.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1296
22.4 IPS |
