Mac mini (2024)
Geekbench AI Score
9991
Single Precision Score
11673
Half Precision Score
10895
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 16 2025 02:50 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.6 (Build 24G84) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4738
881.1 IPS |
|
|
Image Classification (HP)
|
100% |
5118
951.9 IPS |
|
|
Image Classification (Q)
|
96% |
4827
901.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
7640
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8068
130.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7996
129.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
29777
34.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
31951
37.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
31501
36.9 IPS |
|
|
Object Detection (SP)
|
100% |
4904
389.0 IPS |
|
|
Object Detection (HP)
|
100% |
5489
435.4 IPS |
|
|
Object Detection (Q)
|
92% |
5087
406.0 IPS |
|
|
Face Detection (SP)
|
100% |
12900
153.3 IPS |
|
|
Face Detection (HP)
|
100% |
17207
204.5 IPS |
|
|
Face Detection (Q)
|
100% |
13799
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21751
167.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
23445
180.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
21498
167.9 IPS |
|
|
Style Transfer (SP)
|
100% |
61539
79.1 IPS |
|
|
Style Transfer (HP)
|
100% |
71480
91.9 IPS |
|
|
Style Transfer (Q)
|
96% |
69219
89.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12507
461.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12544
463.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11164
412.2 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5460
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5244
7.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3285
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3171
54.8 IPS |
