Mac mini (2024)
Geekbench AI Score
5545
Single Precision Score
41872
Half Precision Score
58307
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | amoudruz |
| Upload Date | April 15 2026 04:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.4.1 (Build 25E253) |
| 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 | 4.09 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (HP)
|
100% |
20694
3.85 KIPS |
|
|
Image Classification (Q)
|
97% |
27988
5.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2311
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23798
385.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
35064
568.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
14108
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122687
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
233414
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2507
198.8 IPS |
|
|
Object Detection (HP)
|
100% |
22367
1.77 KIPS |
|
|
Object Detection (Q)
|
89% |
28974
2.32 KIPS |
|
|
Face Detection (SP)
|
100% |
4605
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
47586
565.4 IPS |
|
|
Face Detection (Q)
|
100% |
74692
887.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8408
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
116083
894.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
191257
1.49 KIPS |
|
|
Style Transfer (SP)
|
100% |
25506
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
237339
305.1 IPS |
|
|
Style Transfer (Q)
|
96% |
300350
387.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52442
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
90530
3.34 KIPS |
|
|
Text Classification (SP)
|
100% |
5885
7.85 KIPS |
|
|
Text Classification (HP)
|
100% |
9422
12.6 KIPS |
|
|
Text Classification (Q)
|
92% |
9156
12.3 KIPS |
|
|
Machine Translation (SP)
|
100% |
4970
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
18924
326.0 IPS |
|
|
Machine Translation (Q)
|
98% |
19244
332.6 IPS |
