Mac mini (2024)
Geekbench AI Score
14659
Single Precision Score
16471
Half Precision Score
15328
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | October 15 2025 08:45 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
6911
1.29 KIPS |
|
|
Image Classification (HP)
|
100% |
7339
1.36 KIPS |
|
|
Image Classification (Q)
|
96% |
6772
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12304
199.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12832
208.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
12340
200.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
44923
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
46694
54.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
45876
53.7 IPS |
|
|
Object Detection (SP)
|
100% |
6325
501.7 IPS |
|
|
Object Detection (HP)
|
100% |
6989
554.4 IPS |
|
|
Object Detection (Q)
|
92% |
6362
507.9 IPS |
|
|
Face Detection (SP)
|
100% |
23412
278.2 IPS |
|
|
Face Detection (HP)
|
100% |
25307
300.7 IPS |
|
|
Face Detection (Q)
|
100% |
20413
242.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
30621
235.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
31267
240.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
28604
223.4 IPS |
|
|
Style Transfer (SP)
|
100% |
103586
133.2 IPS |
|
|
Style Transfer (HP)
|
100% |
109237
140.4 IPS |
|
|
Style Transfer (Q)
|
96% |
107569
138.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16514
609.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17955
663.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15714
580.3 IPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5307
7.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5152
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5807
100.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5776
99.8 IPS |
