Mac mini (2024)
Geekbench AI Score
4748
Single Precision Score
36739
Half Precision Score
51856
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | February 14 2025 03:34 PM |
| Views | 21 |
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% |
2061
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
17859
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
25147
4.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21702
351.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30175
489.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123940
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233606
273.8 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.2 IPS |
|
|
Object Detection (HP)
|
100% |
18111
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25589
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
3986
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
43535
517.3 IPS |
|
|
Face Detection (Q)
|
100% |
61706
733.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8418
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99211
764.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167618
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25459
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236197
303.6 IPS |
|
|
Style Transfer (Q)
|
96% |
298911
385.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49909
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88400
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2966
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
6128
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6282
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16506
284.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18057
312.0 IPS |
