Mac mini (2024)
Geekbench AI Score
5793
Single Precision Score
8847
Half Precision Score
6915
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | netdevil |
| Upload Date | December 11 2024 05:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M4 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
3039
565.2 IPS |
|
|
Image Classification (Q)
|
96% |
2200
410.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2576
41.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3500
56.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3936
63.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18928
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31023
36.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
24347
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
2501
198.4 IPS |
|
|
Object Detection (HP)
|
97% |
3832
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4553
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
7815
92.9 IPS |
|
|
Face Detection (Q)
|
100% |
4648
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8797
67.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14012
108.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10155
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
35151
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46996
60.4 IPS |
|
|
Style Transfer (Q)
|
96% |
38409
49.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7052
260.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9527
351.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5303
195.8 IPS |
|
|
Text Classification (SP)
|
100% |
2942
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5391
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5233
7.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
5746
99.0 IPS |
|
|
Machine Translation (HP)
|
98% |
8797
152.0 IPS |
|
|
Machine Translation (Q)
|
98% |
8830
152.6 IPS |
