Mac mini (2024)
Geekbench AI Score
4841
Single Precision Score
37023
Half Precision Score
52809
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fo0barorg |
| Upload Date | April 25 2025 04:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
17744
3.30 KIPS |
|
|
Image Classification (Q)
|
97% |
26567
4.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21987
356.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
30411
493.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10014
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123048
143.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231260
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
18517
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
27569
2.20 KIPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
44103
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
63677
756.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8698
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99653
767.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
171608
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21589
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
232635
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
298656
385.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6126
226.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50056
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83310
3.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2894
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6562
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16621
286.3 IPS |
|
|
Machine Translation (Q)
|
98% |
18357
317.2 IPS |
