Mac mini (2024)
Geekbench AI Score
13865
Single Precision Score
15771
Half Precision Score
13859
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | szuperp |
| Upload Date | March 23 2025 07:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7503
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7999
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6993
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11860
192.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
12872
208.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13481
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56440
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59088
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55891
65.5 IPS |
|
|
Object Detection (SP)
|
100% |
7135
566.0 IPS |
|
|
Object Detection (HP)
|
100% |
7727
612.9 IPS |
|
|
Object Detection (Q)
|
91% |
6253
499.6 IPS |
|
|
Face Detection (SP)
|
100% |
25713
305.5 IPS |
|
|
Face Detection (HP)
|
100% |
28908
343.5 IPS |
|
|
Face Detection (Q)
|
100% |
20651
245.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
33366
257.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
36190
278.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
30540
238.7 IPS |
|
|
Style Transfer (SP)
|
100% |
123314
158.5 IPS |
|
|
Style Transfer (HP)
|
100% |
135178
173.8 IPS |
|
|
Style Transfer (Q)
|
96% |
129515
167.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23007
849.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25374
936.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19643
725.3 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
98% |
958
16.6 IPS |
