Mac mini (2024)
Geekbench AI Score
13787
Single Precision Score
15368
Half Precision Score
13572
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ddalledo |
| Upload Date | January 22 2025 12:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7170
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7770
1.44 KIPS |
|
|
Image Classification (Q)
|
97% |
6732
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10846
175.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
11407
184.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11547
187.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46343
54.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48483
56.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
45934
53.8 IPS |
|
|
Object Detection (SP)
|
100% |
6962
552.2 IPS |
|
|
Object Detection (HP)
|
100% |
7459
591.7 IPS |
|
|
Object Detection (Q)
|
91% |
6120
489.1 IPS |
|
|
Face Detection (SP)
|
100% |
23491
279.1 IPS |
|
|
Face Detection (HP)
|
100% |
25007
297.1 IPS |
|
|
Face Detection (Q)
|
100% |
17821
211.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
32084
247.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33836
260.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
28611
223.6 IPS |
|
|
Style Transfer (SP)
|
100% |
105618
135.8 IPS |
|
|
Style Transfer (HP)
|
100% |
115132
148.0 IPS |
|
|
Style Transfer (Q)
|
96% |
108186
139.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18332
676.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19393
716.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15127
558.6 IPS |
|
|
Text Classification (SP)
|
100% |
2951
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5308
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5256
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2298
39.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2287
39.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2213
38.2 IPS |
