Mac mini (2024)
Geekbench AI Score
5370
Single Precision Score
9096
Half Precision Score
7062
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | September 10 2025 11:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7 (Build 24G222) |
| 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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
3006
559.1 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2266
36.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3436
55.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
17371
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
32700
38.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24926
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
2457
194.9 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2653
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
4741
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8233
97.8 IPS |
|
|
Face Detection (Q)
|
100% |
4729
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15037
116.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10617
82.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26136
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52272
67.2 IPS |
|
|
Style Transfer (Q)
|
96% |
40449
52.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5961
220.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10127
373.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5972
220.5 IPS |
|
|
Text Classification (SP)
|
100% |
2888
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5200
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5439
93.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8909
153.9 IPS |
|
|
Machine Translation (Q)
|
98% |
8784
151.8 IPS |
