Mac mini (2024)
Geekbench AI Score
5764
Single Precision Score
37676
Half Precision Score
50867
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 06 2026 07:27 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2147
399.3 IPS |
|
|
Image Classification (HP)
|
100% |
17913
3.33 KIPS |
|
|
Image Classification (Q)
|
97% |
22231
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23305
377.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31856
516.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17202
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
122098
142.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
228930
268.3 IPS |
|
|
Object Detection (SP)
|
100% |
2521
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
20019
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24798
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4977
59.1 IPS |
|
|
Face Detection (HP)
|
100% |
44046
523.4 IPS |
|
|
Face Detection (Q)
|
100% |
62428
741.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8693
67.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110991
855.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
180375
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
30158
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236582
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
325503
420.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6965
257.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49705
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80384
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3350
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
5767
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5731
7.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5929
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
17037
293.5 IPS |
|
|
Machine Translation (Q)
|
98% |
17084
295.2 IPS |
