Mac mini (2024)
Geekbench AI Score
5732
Single Precision Score
8881
Half Precision Score
6880
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | videonutter |
| Upload Date | December 24 2024 04:13 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, 14 Cores |
| Identifier | Apple M4 Pro |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2082
387.2 IPS |
|
|
Image Classification (HP)
|
100% |
3029
563.3 IPS |
|
|
Image Classification (Q)
|
96% |
2187
408.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2446
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3486
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3939
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18748
21.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30841
36.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
23925
28.0 IPS |
|
|
Object Detection (SP)
|
100% |
2474
196.3 IPS |
|
|
Object Detection (HP)
|
97% |
3826
304.6 IPS |
|
|
Object Detection (Q)
|
94% |
2655
211.6 IPS |
|
|
Face Detection (SP)
|
100% |
4519
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
7896
93.8 IPS |
|
|
Face Detection (Q)
|
100% |
4606
54.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8764
67.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14503
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10208
79.7 IPS |
|
|
Style Transfer (SP)
|
100% |
35578
45.7 IPS |
|
|
Style Transfer (HP)
|
100% |
50011
64.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39223
50.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7023
259.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9445
348.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5172
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5196
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5610
96.6 IPS |
|
|
Machine Translation (HP)
|
98% |
8758
151.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8783
151.8 IPS |
