Mac mini (2024)
Geekbench AI Score
4716
Single Precision Score
7791
Half Precision Score
6299
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | oscarbg81 |
| Upload Date | December 07 2024 06:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| 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% |
2032
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
3291
612.1 IPS |
|
|
Image Classification (Q)
|
96% |
2314
432.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3179
51.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3623
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10053
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19029
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16547
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2270
180.1 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.6 IPS |
|
|
Object Detection (Q)
|
94% |
2737
218.2 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
7556
89.8 IPS |
|
|
Face Detection (Q)
|
100% |
4468
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8395
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14834
114.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10368
80.9 IPS |
|
|
Style Transfer (SP)
|
100% |
25371
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
38446
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31988
41.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5782
213.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6816
251.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4773
176.2 IPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5448
7.27 KIPS |
|
|
Text Classification (Q)
|
93% |
5399
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3904
67.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6874
118.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6790
117.3 IPS |
