mini core ML gpu Mac mini (2024)
Geekbench AI Score
15323
Single Precision Score
17265
Half Precision Score
15305
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | granthussey |
| Upload Date | December 21 2024 03:17 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | Mac mini (2024) |
| Model ID | Mac16,11 |
| Motherboard | Mac16,11 |
| CPU Information | |
|---|---|
| Name | Apple M4 Pro |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7459
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
8024
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
6849
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12055
195.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
13046
211.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
13378
216.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
56436
65.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
59035
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
55751
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
7159
567.9 IPS |
|
|
Object Detection (HP)
|
100% |
7579
601.1 IPS |
|
|
Object Detection (Q)
|
91% |
6369
509.0 IPS |
|
|
Face Detection (SP)
|
100% |
25552
303.6 IPS |
|
|
Face Detection (HP)
|
100% |
28262
335.8 IPS |
|
|
Face Detection (Q)
|
100% |
20424
242.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
33073
254.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
35743
275.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
29970
234.2 IPS |
|
|
Style Transfer (SP)
|
100% |
123065
158.2 IPS |
|
|
Style Transfer (HP)
|
100% |
134916
173.4 IPS |
|
|
Style Transfer (Q)
|
96% |
127203
164.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22806
842.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24231
894.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19495
719.9 IPS |
|
|
Text Classification (SP)
|
100% |
2935
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5183
6.92 KIPS |
|
|
Text Classification (Q)
|
93% |
5163
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2823
48.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2936
50.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2766
47.8 IPS |
