Mac mini (2024)
Geekbench AI Score
4829
Single Precision Score
7529
Half Precision Score
6219
Quantized Score
Geekbench AI 1.4.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | August 08 2025 07:48 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2078
386.4 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.3 IPS |
|
|
Image Classification (Q)
|
96% |
2279
425.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3149
51.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3616
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9972
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18513
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16691
19.6 IPS |
|
|
Object Detection (SP)
|
100% |
2442
193.7 IPS |
|
|
Object Detection (HP)
|
97% |
3035
241.6 IPS |
|
|
Object Detection (Q)
|
94% |
2698
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
4267
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
6486
77.1 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14607
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9828
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21642
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38464
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31792
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7191
265.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5012
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3026
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5255
7.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5303
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4349
74.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7212
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7144
123.4 IPS |
