Mac mini (2024)
Geekbench AI Score
4684
Single Precision Score
7671
Half Precision Score
6239
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | December 02 2024 03:36 PM |
| Views | 18 |
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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1975
367.4 IPS |
|
|
Image Classification (HP)
|
100% |
3239
602.3 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3138
50.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3597
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9908
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18941
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16403
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2249
178.4 IPS |
|
|
Object Detection (HP)
|
97% |
3747
298.3 IPS |
|
|
Object Detection (Q)
|
94% |
2687
214.2 IPS |
|
|
Face Detection (SP)
|
100% |
3806
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7038
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
4311
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8266
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14600
112.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10206
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25094
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37946
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31478
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5793
213.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6753
249.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4774
176.3 IPS |
|
|
Text Classification (SP)
|
100% |
3119
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3888
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6743
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6794
117.4 IPS |
