Mac mini (2024)
Geekbench AI Score
5220
Single Precision Score
38440
Half Precision Score
51651
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | geek285 |
| Upload Date | June 17 2025 08:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 4.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1910
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
18118
3.37 KIPS |
|
|
Image Classification (Q)
|
97% |
23018
4.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2270
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23761
385.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
33508
543.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16176
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
123992
144.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232523
272.5 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
100% |
21243
1.69 KIPS |
|
|
Object Detection (Q)
|
91% |
25777
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4269
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
46151
548.4 IPS |
|
|
Face Detection (Q)
|
100% |
60618
720.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8008
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
113951
877.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
185242
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
25584
32.9 IPS |
|
|
Style Transfer (HP)
|
100% |
240699
309.4 IPS |
|
|
Style Transfer (Q)
|
96% |
310471
400.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5903
218.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48013
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82144
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6277
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6184
8.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
5761
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16287
280.6 IPS |
|
|
Machine Translation (Q)
|
98% |
16510
285.3 IPS |
