Mac mini (2024)
Geekbench AI Score
4935
Single Precision Score
8020
Half Precision Score
6425
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | December 13 2025 12:24 AM |
| Views | 10 |
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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2115
393.3 IPS |
|
|
Image Classification (HP)
|
100% |
3382
629.0 IPS |
|
|
Image Classification (Q)
|
96% |
2357
440.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3550
57.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9870
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19340
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16558
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
97% |
3783
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2713
216.3 IPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
7740
92.0 IPS |
|
|
Face Detection (Q)
|
100% |
4467
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8543
65.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14108
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9968
77.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24302
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38691
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31829
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6030
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7262
268.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4930
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3308
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5717
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
5718
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4533
78.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7999
138.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7995
138.2 IPS |
