Mac mini (2023)
Geekbench AI Score
2181
Single Precision Score
15041
Half Precision Score
16863
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | twonuh |
| Upload Date | February 12 2025 05:09 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | Mac mini (2023) |
| Model ID | Mac14,12 |
| Motherboard | Mac14,12 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1096
203.7 IPS |
|
|
Image Classification (HP)
|
100% |
7617
1.42 KIPS |
|
|
Image Classification (Q)
|
96% |
8056
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
733
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5109
82.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8621
139.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11229
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
92681
108.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
87283
102.3 IPS |
|
|
Object Detection (SP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (HP)
|
99% |
9134
726.6 IPS |
|
|
Object Detection (Q)
|
93% |
9859
786.6 IPS |
|
|
Face Detection (SP)
|
100% |
2031
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
11664
138.6 IPS |
|
|
Face Detection (Q)
|
100% |
13673
162.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3780
29.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55351
426.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
66977
523.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13128
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
145792
187.4 IPS |
|
|
Style Transfer (Q)
|
95% |
133275
172.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20715
764.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28463
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
497
663.1 IPS |
|
|
Text Classification (HP)
|
100% |
4068
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
3947
5.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1899
32.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2269
39.2 IPS |
