Mac mini (2024)
Geekbench AI Score
5010
Single Precision Score
8126
Half Precision Score
6506
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | althoor |
| Upload Date | October 27 2025 10:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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% |
2141
398.2 IPS |
|
|
Image Classification (HP)
|
100% |
3375
627.6 IPS |
|
|
Image Classification (Q)
|
96% |
2356
440.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3197
51.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3552
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10095
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19362
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16765
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2484
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
3825
304.5 IPS |
|
|
Object Detection (Q)
|
94% |
2766
220.5 IPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
7956
94.5 IPS |
|
|
Face Detection (Q)
|
100% |
4603
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8642
66.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14248
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10105
78.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24685
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
39188
50.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32304
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7255
267.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3382
4.51 KIPS |
|
|
Text Classification (HP)
|
99% |
5997
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
5808
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
4538
78.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8138
140.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8150
140.8 IPS |
