Mac mini (2024)
Geekbench AI Score
5778
Single Precision Score
8935
Half Precision Score
6914
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | December 27 2024 08:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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, 12 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3048
566.9 IPS |
|
|
Image Classification (Q)
|
96% |
2185
407.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3562
57.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3937
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18999
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
31962
37.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
24004
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2483
197.0 IPS |
|
|
Object Detection (HP)
|
97% |
3827
304.7 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
4592
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
7936
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
4611
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8848
68.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14401
111.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10339
80.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35287
45.4 IPS |
|
|
Style Transfer (HP)
|
100% |
48930
62.9 IPS |
|
|
Style Transfer (Q)
|
96% |
38987
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7040
260.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9585
353.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5259
194.2 IPS |
|
|
Text Classification (SP)
|
100% |
2914
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
5150
6.87 KIPS |
|
|
Text Classification (Q)
|
93% |
5297
7.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5771
99.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8854
153.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8776
151.7 IPS |
