Mac mini (2024)
Geekbench AI Score
4750
Single Precision Score
36955
Half Precision Score
52739
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | HTABHTA |
| Upload Date | February 21 2025 12:54 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
18076
3.36 KIPS |
|
|
Image Classification (Q)
|
97% |
27194
5.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
22053
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30402
492.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10067
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123856
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233514
273.7 IPS |
|
|
Object Detection (SP)
|
100% |
2303
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
18848
1.50 KIPS |
|
|
Object Detection (Q)
|
91% |
26334
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
4052
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
41116
488.6 IPS |
|
|
Face Detection (Q)
|
100% |
61553
731.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8424
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99897
769.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168335
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25457
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235578
302.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298447
385.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50070
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88706
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6605
8.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
3905
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16462
283.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18074
312.3 IPS |
