Mac mini (2024)
Geekbench AI Score
5758
Single Precision Score
37691
Half Precision Score
50025
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | timk |
| Upload Date | December 31 2025 05:06 PM |
| Views | 7 |
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, 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% |
2150
399.9 IPS |
|
|
Image Classification (HP)
|
100% |
18311
3.41 KIPS |
|
|
Image Classification (Q)
|
97% |
21897
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2343
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23682
383.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31605
512.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
17395
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
122686
143.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
231290
271.1 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.2 IPS |
|
|
Object Detection (HP)
|
100% |
20019
1.59 KIPS |
|
|
Object Detection (Q)
|
91% |
24084
1.92 KIPS |
|
|
Face Detection (SP)
|
100% |
5035
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
44117
524.2 IPS |
|
|
Face Detection (Q)
|
100% |
63043
749.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8814
67.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
110469
851.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
174740
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
30608
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
238151
306.1 IPS |
|
|
Style Transfer (Q)
|
96% |
326606
421.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7001
258.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49894
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78126
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5662
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5823
100.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16572
285.5 IPS |
|
|
Machine Translation (Q)
|
98% |
16614
287.1 IPS |
