Mac mini (2024)
Geekbench AI Score
5369
Single Precision Score
9003
Half Precision Score
6952
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | RG22032 |
| Upload Date | April 13 2025 11:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
2059
382.8 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
2172
405.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3474
56.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3915
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
17129
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31900
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24188
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2490
197.5 IPS |
|
|
Object Detection (HP)
|
97% |
3834
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.4 IPS |
|
|
Face Detection (SP)
|
100% |
4640
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
7795
92.6 IPS |
|
|
Face Detection (Q)
|
100% |
4564
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8626
66.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14594
112.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10208
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25478
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51055
65.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38392
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5971
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9853
363.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5767
212.9 IPS |
|
|
Text Classification (SP)
|
100% |
2899
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5183
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5655
97.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9072
156.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9051
156.4 IPS |
