Mac mini (2024)
Geekbench AI Score
16759
Single Precision Score
18944
Half Precision Score
17311
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | decryp7 |
| Upload Date | September 26 2025 01:16 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 26.0 (Build 25A354) |
| 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 | 4.03 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8162
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8790
1.63 KIPS |
|
|
Image Classification (Q)
|
96% |
7862
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14603
236.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15365
249.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
14666
237.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
54563
63.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
59937
69.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
57924
67.8 IPS |
|
|
Object Detection (SP)
|
100% |
7434
589.7 IPS |
|
|
Object Detection (HP)
|
100% |
7884
625.4 IPS |
|
|
Object Detection (Q)
|
92% |
7171
572.4 IPS |
|
|
Face Detection (SP)
|
100% |
25655
304.8 IPS |
|
|
Face Detection (HP)
|
100% |
30393
361.1 IPS |
|
|
Face Detection (Q)
|
100% |
24376
289.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34166
263.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36285
279.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
33010
257.8 IPS |
|
|
Style Transfer (SP)
|
100% |
122950
158.1 IPS |
|
|
Style Transfer (HP)
|
100% |
138070
177.5 IPS |
|
|
Style Transfer (Q)
|
96% |
133430
172.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23273
859.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23895
882.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20216
746.5 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4440
76.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4106
71.0 IPS |
