Mac mini (2024)
Geekbench AI Score
4821
Single Precision Score
7872
Half Precision Score
6322
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | bosford |
| Upload Date | April 12 2025 02:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2089
388.5 IPS |
|
|
Image Classification (HP)
|
100% |
3292
612.2 IPS |
|
|
Image Classification (Q)
|
96% |
2312
431.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3200
51.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3657
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9832
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19261
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16667
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.2 IPS |
|
|
Object Detection (HP)
|
97% |
3815
303.7 IPS |
|
|
Object Detection (Q)
|
94% |
2718
216.6 IPS |
|
|
Face Detection (SP)
|
100% |
4291
51.0 IPS |
|
|
Face Detection (HP)
|
100% |
7722
91.8 IPS |
|
|
Face Detection (Q)
|
100% |
4420
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8716
67.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14716
113.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10257
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21365
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38538
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31972
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6030
222.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7062
260.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4971
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5344
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5206
6.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4415
76.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7150
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7104
122.8 IPS |
