Mac mini (2024)
Geekbench AI Score
4662
Single Precision Score
7736
Half Precision Score
6213
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Vinpeom |
| Upload Date | December 20 2024 03:54 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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% |
1993
370.6 IPS |
|
|
Image Classification (HP)
|
100% |
3254
605.1 IPS |
|
|
Image Classification (Q)
|
96% |
2309
431.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2080
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3186
51.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9936
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18974
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16408
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2224
176.4 IPS |
|
|
Object Detection (HP)
|
97% |
3737
297.5 IPS |
|
|
Object Detection (Q)
|
94% |
2715
216.4 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7278
86.5 IPS |
|
|
Face Detection (Q)
|
100% |
4156
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7908
60.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14542
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9797
76.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24988
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38205
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31648
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5851
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4797
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5564
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5374
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3924
67.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6862
118.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6953
120.2 IPS |
