Mac mini (2024)
Geekbench AI Score
5341
Single Precision Score
8889
Half Precision Score
6952
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | SorceressOfGrayskull |
| Upload Date | May 15 2025 01:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.8 IPS |
|
|
Image Classification (Q)
|
96% |
2190
408.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2268
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3459
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3911
63.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17357
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31163
36.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
23951
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2464
195.4 IPS |
|
|
Object Detection (HP)
|
97% |
3812
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
4544
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
7729
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4563
54.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14147
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10110
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25666
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48486
62.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39219
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5972
220.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9998
369.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5727
211.5 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5268
7.03 KIPS |
|
|
Text Classification (Q)
|
93% |
5196
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5420
93.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8811
152.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8978
155.2 IPS |
