Mac mini (2024)
Geekbench AI Score
14546
Single Precision Score
16288
Half Precision Score
15217
Quantized Score
Geekbench AI 1.6.0 Corporate for macOS AArch64
Result Information
| Upload Date | December 02 2025 08:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.2 (Build 24G325) |
| 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% |
6661
1.24 KIPS |
|
|
Image Classification (HP)
|
100% |
7253
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6689
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12224
198.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12734
206.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12034
195.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
45359
52.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
47117
55.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
46301
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6404
508.0 IPS |
|
|
Object Detection (HP)
|
100% |
6889
546.4 IPS |
|
|
Object Detection (Q)
|
92% |
6245
498.5 IPS |
|
|
Face Detection (SP)
|
100% |
22174
263.5 IPS |
|
|
Face Detection (HP)
|
100% |
24800
294.7 IPS |
|
|
Face Detection (Q)
|
100% |
20193
239.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
30254
233.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
31352
241.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
28652
223.8 IPS |
|
|
Style Transfer (SP)
|
100% |
103774
133.4 IPS |
|
|
Style Transfer (HP)
|
100% |
109619
140.9 IPS |
|
|
Style Transfer (Q)
|
96% |
108220
139.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16536
610.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16831
621.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15092
557.3 IPS |
|
|
Text Classification (SP)
|
100% |
2848
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5189
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5161
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5471
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5890
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5867
101.4 IPS |
