Mac mini (2024)
Geekbench AI Score
5760
Single Precision Score
8957
Half Precision Score
6901
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | January 02 2025 08:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2078
386.5 IPS |
|
|
Image Classification (HP)
|
100% |
3033
564.0 IPS |
|
|
Image Classification (Q)
|
96% |
2198
410.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3478
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3942
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18911
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31775
37.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
24322
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2473
196.2 IPS |
|
|
Object Detection (HP)
|
97% |
3817
303.9 IPS |
|
|
Object Detection (Q)
|
94% |
2657
211.8 IPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7976
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4649
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8845
68.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14999
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10156
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35780
46.0 IPS |
|
|
Style Transfer (HP)
|
100% |
50139
64.5 IPS |
|
|
Style Transfer (Q)
|
96% |
39512
51.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9563
353.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
2930
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5149
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5137
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5696
98.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8797
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8791
151.9 IPS |
