Mac mini (2024)
Geekbench AI Score
4720
Single Precision Score
37005
Half Precision Score
52364
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nsddddddddd |
| Upload Date | March 09 2025 09:15 AM |
| Views | 19 |
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% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
18326
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
26331
4.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
21724
352.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
30131
488.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10035
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123679
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
232791
272.8 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
18755
1.49 KIPS |
|
|
Object Detection (Q)
|
91% |
26244
2.10 KIPS |
|
|
Face Detection (SP)
|
100% |
3939
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
44082
523.8 IPS |
|
|
Face Detection (Q)
|
100% |
60801
722.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100036
770.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
171056
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25242
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
234351
301.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300693
388.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5850
216.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49808
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89704
3.31 KIPS |
|
|
Text Classification (SP)
|
100% |
2948
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
6200
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6254
8.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3908
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16339
281.4 IPS |
|
|
Machine Translation (Q)
|
98% |
18228
315.0 IPS |
