Mac mini (2024)
Geekbench AI Score
15649
Single Precision Score
17690
Half Precision Score
15748
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:38 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7983
1.48 KIPS |
|
|
Image Classification (HP)
|
100% |
8018
1.49 KIPS |
|
|
Image Classification (Q)
|
96% |
7705
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14222
230.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15063
244.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
14335
232.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
56400
65.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
58817
68.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57194
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
6970
552.9 IPS |
|
|
Object Detection (HP)
|
100% |
7584
601.6 IPS |
|
|
Object Detection (Q)
|
92% |
6993
558.2 IPS |
|
|
Face Detection (SP)
|
100% |
25569
303.8 IPS |
|
|
Face Detection (HP)
|
100% |
28270
335.9 IPS |
|
|
Face Detection (Q)
|
100% |
24378
289.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33409
257.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35280
271.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
32730
255.9 IPS |
|
|
Style Transfer (SP)
|
100% |
123545
158.8 IPS |
|
|
Style Transfer (HP)
|
100% |
134818
173.3 IPS |
|
|
Style Transfer (Q)
|
96% |
131549
169.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23624
872.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24532
905.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20702
764.4 IPS |
|
|
Text Classification (SP)
|
100% |
2891
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5158
6.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2738
47.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3187
54.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1895
32.8 IPS |
