Mac mini (2024)
Geekbench AI Score
5768
Single Precision Score
9294
Half Precision Score
7110
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | November 19 2025 04:18 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.1 (Build 25B78) |
| 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% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
2934
545.6 IPS |
|
|
Image Classification (Q)
|
96% |
2155
402.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2296
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3446
55.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3768
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
17394
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
34159
39.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
26568
31.1 IPS |
|
|
Object Detection (SP)
|
100% |
2547
202.0 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2716
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
4859
57.7 IPS |
|
|
Face Detection (HP)
|
100% |
8363
99.4 IPS |
|
|
Face Detection (Q)
|
100% |
4584
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8668
66.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14893
115.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9603
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30348
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
56412
72.5 IPS |
|
|
Style Transfer (Q)
|
96% |
42994
55.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7139
263.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9351
345.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5416
200.0 IPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5761
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5745
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9622
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9573
165.4 IPS |
