Mac mini (2024)
Geekbench AI Score
5729
Single Precision Score
9322
Half Precision Score
7262
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | January 08 2026 04:48 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2149
399.7 IPS |
|
|
Image Classification (HP)
|
100% |
3054
567.9 IPS |
|
|
Image Classification (Q)
|
96% |
2195
410.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2290
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3872
62.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17425
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33913
39.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
25823
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2733
217.8 IPS |
|
|
Face Detection (SP)
|
100% |
4945
58.8 IPS |
|
|
Face Detection (HP)
|
100% |
8427
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4724
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8680
66.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15155
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10584
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
31000
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
56379
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
43148
55.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7068
261.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9472
349.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5931
219.0 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5626
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5763
99.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9520
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9463
163.5 IPS |
