Mac mini (2024)
Geekbench AI Score
4718
Single Precision Score
7804
Half Precision Score
6300
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jaysuzi5 |
| Upload Date | January 13 2025 12:12 AM |
| Views | 4 |
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% |
2008
373.4 IPS |
|
|
Image Classification (HP)
|
100% |
3295
612.8 IPS |
|
|
Image Classification (Q)
|
96% |
2320
433.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2065
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3220
52.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3621
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9943
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18967
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16538
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.3 IPS |
|
|
Object Detection (HP)
|
97% |
3787
301.5 IPS |
|
|
Object Detection (Q)
|
94% |
2726
217.3 IPS |
|
|
Face Detection (SP)
|
100% |
3911
46.5 IPS |
|
|
Face Detection (HP)
|
100% |
7301
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4430
52.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8402
64.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14820
114.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10356
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25297
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38362
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31911
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6847
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4791
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
3106
4.15 KIPS |
|
|
Text Classification (HP)
|
100% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5379
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6869
118.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6902
119.3 IPS |
