Mac mini (2024)
Geekbench AI Score
4759
Single Precision Score
7872
Half Precision Score
6351
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | iGeneration |
| Upload Date | December 30 2024 11:15 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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% |
2060
383.2 IPS |
|
|
Image Classification (HP)
|
100% |
3284
610.6 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3165
51.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3607
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10027
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19007
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16606
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2306
182.9 IPS |
|
|
Object Detection (HP)
|
97% |
3824
304.4 IPS |
|
|
Object Detection (Q)
|
94% |
2760
220.0 IPS |
|
|
Face Detection (SP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
7805
92.7 IPS |
|
|
Face Detection (Q)
|
100% |
4547
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8432
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14876
115.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10410
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25426
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38631
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
32080
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5770
213.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6966
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4781
176.6 IPS |
|
|
Text Classification (SP)
|
100% |
3048
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5577
7.44 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3934
67.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6946
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6976
120.5 IPS |
