Mac mini (2024)
Geekbench AI Score
5766
Single Precision Score
36489
Half Precision Score
49366
Quantized Score
Geekbench AI 1.2.0 Pro for macOS AArch64
Result Information
| User | iPhil |
| Upload Date | January 27 2025 01:44 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
17310
3.22 KIPS |
|
|
Image Classification (Q)
|
97% |
22426
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2527
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23042
373.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
31946
517.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18835
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
123131
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
231018
270.8 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
100% |
20562
1.63 KIPS |
|
|
Object Detection (Q)
|
91% |
24312
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4552
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
44538
529.2 IPS |
|
|
Face Detection (Q)
|
100% |
55748
662.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8758
67.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
106814
822.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
179729
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
35762
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
235686
303.0 IPS |
|
|
Style Transfer (Q)
|
96% |
300781
388.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7049
260.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46671
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78227
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2944
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
4725
6.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5361
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5664
97.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16762
288.7 IPS |
|
|
Machine Translation (Q)
|
98% |
16903
292.1 IPS |
