Mac mini M4 (2024) Viktor Mac mini (2024)
Geekbench AI Score
4987
Single Precision Score
8084
Half Precision Score
6495
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | Niiiko |
| Upload Date | February 16 2026 05:29 PM |
| Views | 22 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
3401
632.5 IPS |
|
|
Image Classification (Q)
|
96% |
2369
442.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3165
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3535
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19404
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16786
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2765
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
7918
94.1 IPS |
|
|
Face Detection (Q)
|
100% |
4571
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8640
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14226
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10078
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24524
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39193
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32201
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6035
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7232
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4936
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3339
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5861
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4566
78.7 IPS |
|
|
Machine Translation (HP)
|
98% |
8007
138.4 IPS |
|
|
Machine Translation (Q)
|
98% |
8018
138.6 IPS |
