Mac mini M4 (2024) 24 GB RAM / HDD 512 GB Mac mini (2024)
Geekbench AI Score
8140
Single Precision Score
9415
Half Precision Score
9227
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | konopek1971 |
| Upload Date | March 12 2025 05:30 PM |
| Views | 10 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4647
864.2 IPS |
|
|
Image Classification (HP)
|
100% |
5005
930.8 IPS |
|
|
Image Classification (Q)
|
97% |
4346
811.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4944
80.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6985
113.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
7573
122.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
29661
34.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31952
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
30399
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3932
311.9 IPS |
|
|
Object Detection (HP)
|
100% |
2907
230.6 IPS |
|
|
Object Detection (Q)
|
91% |
4637
370.6 IPS |
|
|
Face Detection (SP)
|
100% |
12108
143.9 IPS |
|
|
Face Detection (HP)
|
100% |
16117
191.5 IPS |
|
|
Face Detection (Q)
|
100% |
11686
138.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21322
164.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23879
184.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
20067
156.9 IPS |
|
|
Style Transfer (SP)
|
100% |
58725
75.5 IPS |
|
|
Style Transfer (HP)
|
100% |
71680
92.1 IPS |
|
|
Style Transfer (Q)
|
96% |
67873
87.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12459
460.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13269
490.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10722
395.9 IPS |
|
|
Text Classification (SP)
|
100% |
3007
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
5131
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
840
14.5 IPS |
|
|
Machine Translation (HP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1034
17.9 IPS |
