Mac mini (2024)
Geekbench AI Score
4737
Single Precision Score
36661
Half Precision Score
51759
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | molendinar |
| Upload Date | March 07 2025 09:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
2048
380.8 IPS |
|
|
Image Classification (HP)
|
100% |
17795
3.31 KIPS |
|
|
Image Classification (Q)
|
97% |
25065
4.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21262
344.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30195
489.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10118
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123554
144.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233737
274.0 IPS |
|
|
Object Detection (SP)
|
100% |
2302
182.6 IPS |
|
|
Object Detection (HP)
|
100% |
18432
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26052
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
43665
518.8 IPS |
|
|
Face Detection (Q)
|
100% |
61097
726.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8351
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99168
764.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170133
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25442
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234491
301.4 IPS |
|
|
Style Transfer (Q)
|
96% |
298628
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5843
215.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49525
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84236
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6137
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6279
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3896
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16497
284.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18238
315.2 IPS |
