Mac mini (2024)
Geekbench AI Score
4786
Single Precision Score
7836
Half Precision Score
6382
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | lmeyler |
| Upload Date | February 05 2025 01:04 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2054
381.9 IPS |
|
|
Image Classification (HP)
|
100% |
3295
612.8 IPS |
|
|
Image Classification (Q)
|
96% |
2334
435.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3173
51.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3637
59.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19048
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16608
19.5 IPS |
|
|
Object Detection (SP)
|
100% |
2310
183.2 IPS |
|
|
Object Detection (HP)
|
97% |
3810
303.3 IPS |
|
|
Object Detection (Q)
|
94% |
2752
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4039
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
7602
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4584
54.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8448
65.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14856
114.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10447
81.5 IPS |
|
|
Style Transfer (SP)
|
100% |
25482
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38599
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32079
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5785
213.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6851
253.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.4 IPS |
|
|
Text Classification (SP)
|
100% |
3114
4.16 KIPS |
|
|
Text Classification (HP)
|
100% |
5539
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3963
68.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6955
120.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7127
123.2 IPS |
