Mac mini (2024)
Geekbench AI Score
5446
Single Precision Score
9225
Half Precision Score
7139
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | June 17 2025 08:20 AM |
| Views | 4 |
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 | 4.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2072
385.3 IPS |
|
|
Image Classification (HP)
|
100% |
3063
569.6 IPS |
|
|
Image Classification (Q)
|
96% |
2208
412.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2423
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3708
60.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3954
64.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17141
20.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
31890
37.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24694
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
2480
196.7 IPS |
|
|
Object Detection (HP)
|
97% |
3924
312.4 IPS |
|
|
Object Detection (Q)
|
94% |
2739
218.3 IPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8068
95.9 IPS |
|
|
Face Detection (Q)
|
100% |
4715
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14702
113.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10239
79.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26859
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
51927
66.8 IPS |
|
|
Style Transfer (Q)
|
96% |
39793
51.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10153
374.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6092
225.0 IPS |
|
|
Text Classification (SP)
|
100% |
2904
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
5299
7.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5246
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5802
99.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9477
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9492
164.0 IPS |
