Mac mini (2024)
Geekbench AI Score
5406
Single Precision Score
9107
Half Precision Score
7051
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | AlexeySukhanov |
| Upload Date | October 29 2025 06:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3041
565.6 IPS |
|
|
Image Classification (Q)
|
96% |
2180
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3518
57.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3883
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17358
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32565
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24786
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4779
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8184
97.2 IPS |
|
|
Face Detection (Q)
|
100% |
4723
56.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8665
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
15432
119.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10790
84.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25668
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52348
67.3 IPS |
|
|
Style Transfer (Q)
|
96% |
40808
52.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10011
369.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5633
208.0 IPS |
|
|
Text Classification (SP)
|
100% |
2884
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5608
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8627
149.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8681
150.0 IPS |
