Mac mini (2024)
Geekbench AI Score
5710
Single Precision Score
8915
Half Precision Score
6833
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ymmij |
| Upload Date | January 02 2025 11:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 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% |
2110
392.5 IPS |
|
|
Image Classification (HP)
|
100% |
3124
581.0 IPS |
|
|
Image Classification (Q)
|
96% |
2194
409.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2507
40.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3655
59.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3875
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18665
21.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30988
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
23840
27.9 IPS |
|
|
Object Detection (SP)
|
100% |
2447
194.1 IPS |
|
|
Object Detection (HP)
|
97% |
3847
306.3 IPS |
|
|
Object Detection (Q)
|
94% |
2676
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
7648
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4499
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8504
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14084
108.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9876
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35080
45.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49247
63.3 IPS |
|
|
Style Transfer (Q)
|
96% |
37879
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7065
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9553
352.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5269
194.6 IPS |
|
|
Text Classification (SP)
|
100% |
2937
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5302
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5214
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5608
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8678
149.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8850
152.9 IPS |
