Mac mini (2024)
Geekbench AI Score
15149
Single Precision Score
16994
Half Precision Score
16216
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | BennyDaBall |
| Upload Date | November 22 2025 02:56 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C5048a) |
| 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 | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7469
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7932
1.48 KIPS |
|
|
Image Classification (Q)
|
96% |
7234
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14111
228.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14958
242.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
14405
233.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
54431
63.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59409
69.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
57039
66.8 IPS |
|
|
Object Detection (SP)
|
100% |
6692
530.8 IPS |
|
|
Object Detection (HP)
|
100% |
7077
561.3 IPS |
|
|
Object Detection (Q)
|
92% |
6864
547.9 IPS |
|
|
Face Detection (SP)
|
100% |
25577
303.9 IPS |
|
|
Face Detection (HP)
|
100% |
28780
342.0 IPS |
|
|
Face Detection (Q)
|
100% |
24120
286.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32952
253.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
34700
267.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
31880
249.0 IPS |
|
|
Style Transfer (SP)
|
100% |
119179
153.2 IPS |
|
|
Style Transfer (HP)
|
100% |
133173
171.2 IPS |
|
|
Style Transfer (Q)
|
96% |
130926
169.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20391
752.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20378
752.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17926
661.9 IPS |
|
|
Text Classification (SP)
|
100% |
3093
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5318
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5309
7.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2618
45.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2795
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3218
55.6 IPS |
