Mac mini (2024)
Geekbench AI Score
5401
Single Precision Score
9081
Half Precision Score
7087
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Merlin12 |
| Upload Date | November 06 2025 04:56 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.48 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2057
382.6 IPS |
|
|
Image Classification (HP)
|
100% |
2984
554.9 IPS |
|
|
Image Classification (Q)
|
96% |
2178
406.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2312
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3456
56.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3921
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17227
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
32527
38.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
24735
29.0 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
3795
302.1 IPS |
|
|
Object Detection (Q)
|
94% |
2649
211.2 IPS |
|
|
Face Detection (SP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
7976
94.8 IPS |
|
|
Face Detection (Q)
|
100% |
4730
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14883
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10464
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26338
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52520
67.5 IPS |
|
|
Style Transfer (Q)
|
96% |
40206
51.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9959
367.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5993
221.3 IPS |
|
|
Text Classification (SP)
|
100% |
2887
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5273
7.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5218
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5663
97.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9159
158.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9182
158.7 IPS |
