Mac mini (2023)
Geekbench AI Score
8313
Single Precision Score
8907
Half Precision Score
7890
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | Sprudent3 |
| Upload Date | August 22 2024 07:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4931
917.1 IPS |
|
|
Image Classification (HP)
|
100% |
5148
957.3 IPS |
|
|
Image Classification (Q)
|
99% |
4451
830.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
7804
126.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
7962
129.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
7727
125.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
43847
51.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
46852
54.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
41825
49.0 IPS |
|
|
Object Detection (SP)
|
100% |
2876
228.1 IPS |
|
|
Object Detection (HP)
|
100% |
4546
360.6 IPS |
|
|
Object Detection (Q)
|
92% |
3718
296.7 IPS |
|
|
Face Detection (SP)
|
100% |
15730
186.9 IPS |
|
|
Face Detection (HP)
|
100% |
16962
201.5 IPS |
|
|
Face Detection (Q)
|
100% |
11783
140.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
24660
190.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25771
198.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
25324
195.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78888
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
84649
108.8 IPS |
|
|
Style Transfer (Q)
|
100% |
83945
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17727
654.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17399
642.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13567
502.6 IPS |
|
|
Text Classification (SP)
|
100% |
643
858.8 IPS |
|
|
Text Classification (HP)
|
100% |
582
777.4 IPS |
|
|
Text Classification (Q)
|
93% |
578
775.6 IPS |
|
|
Machine Translation (SP)
|
100% |
932
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
891
15.4 IPS |
