Mac mini (2024)
Geekbench AI Score
4746
Single Precision Score
37041
Half Precision Score
52486
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 06 2025 09:03 PM |
| Views | 1 |
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% |
2050
381.3 IPS |
|
|
Image Classification (HP)
|
100% |
18620
3.46 KIPS |
|
|
Image Classification (Q)
|
97% |
29660
5.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21891
354.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29286
474.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10017
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123919
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233140
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
18388
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
26082
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4052
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
43651
518.7 IPS |
|
|
Face Detection (Q)
|
100% |
61171
726.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8444
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99130
763.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169309
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25485
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
233322
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298787
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5744
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50838
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85495
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
2925
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
6140
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6240
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3941
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16613
286.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18196
314.4 IPS |
