Mac mini (2024)
Geekbench AI Score
5366
Single Precision Score
8923
Half Precision Score
6858
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jms_ch |
| Upload Date | June 09 2025 01:37 PM |
| Views | 19 |
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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2051
381.5 IPS |
|
|
Image Classification (HP)
|
100% |
3089
574.5 IPS |
|
|
Image Classification (Q)
|
96% |
2158
403.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2267
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3433
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3852
62.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
17415
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
31389
36.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
24076
28.2 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
97% |
3854
306.8 IPS |
|
|
Object Detection (Q)
|
94% |
2697
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4599
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
7867
93.5 IPS |
|
|
Face Detection (Q)
|
100% |
4497
53.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8498
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14391
111.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9836
76.8 IPS |
|
|
Style Transfer (SP)
|
100% |
26449
34.0 IPS |
|
|
Style Transfer (HP)
|
100% |
48395
62.2 IPS |
|
|
Style Transfer (Q)
|
96% |
38390
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10092
372.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5572
205.7 IPS |
|
|
Text Classification (SP)
|
100% |
2897
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5234
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5141
6.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
5699
98.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8621
149.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8768
151.5 IPS |
