Mac mini (2024)
Geekbench AI Score
4744
Single Precision Score
7844
Half Precision Score
6345
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jakubk0 |
| Upload Date | April 06 2025 12:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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% |
2030
377.6 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.4 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3233
52.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3702
60.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10079
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19051
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16601
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2291
181.8 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2733
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7683
91.3 IPS |
|
|
Face Detection (Q)
|
100% |
4501
53.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8358
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14812
114.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10345
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25331
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38503
49.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31966
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5772
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6754
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4788
176.8 IPS |
|
|
Text Classification (SP)
|
100% |
3027
4.04 KIPS |
|
|
Text Classification (HP)
|
100% |
5528
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5464
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
3929
67.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6975
120.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6965
120.4 IPS |
