Mac mini (2024)
Geekbench AI Score
4752
Single Precision Score
37277
Half Precision Score
53229
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | prashidi |
| Upload Date | June 16 2025 03:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
17856
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
26880
5.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21754
352.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30022
486.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9922
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
123320
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230541
270.2 IPS |
|
|
Object Detection (SP)
|
100% |
2436
193.2 IPS |
|
|
Object Detection (HP)
|
100% |
18771
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26878
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
4117
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
44058
523.5 IPS |
|
|
Face Detection (Q)
|
100% |
65197
774.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8593
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
99282
764.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168958
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
21665
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236568
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296742
382.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5667
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50110
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87909
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
6611
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6952
9.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4344
74.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16812
289.6 IPS |
|
|
Machine Translation (Q)
|
98% |
18279
315.9 IPS |
