Mac mini (2024)
Geekbench AI Score
5769
Single Precision Score
38214
Half Precision Score
51778
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kgestring |
| Upload Date | January 23 2026 01:24 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5101c) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2171
403.7 IPS |
|
|
Image Classification (HP)
|
100% |
18576
3.45 KIPS |
|
|
Image Classification (Q)
|
97% |
23512
4.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2327
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23861
386.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
33464
542.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17279
20.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123187
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
232990
273.1 IPS |
|
|
Object Detection (SP)
|
100% |
2570
203.9 IPS |
|
|
Object Detection (HP)
|
100% |
21130
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
25954
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
5047
60.0 IPS |
|
|
Face Detection (HP)
|
100% |
45036
535.1 IPS |
|
|
Face Detection (Q)
|
100% |
64429
765.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8769
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
112106
863.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
181980
1.42 KIPS |
|
|
Style Transfer (SP)
|
100% |
30330
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
239174
307.5 IPS |
|
|
Style Transfer (Q)
|
96% |
331412
427.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7071
261.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50693
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81826
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5408
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5269
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5903
101.7 IPS |
|
|
Machine Translation (HP)
|
100% |
17390
299.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17379
300.3 IPS |
