Mac mini (2023)
Geekbench AI Score
7907
Single Precision Score
8130
Half Precision Score
7295
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 06:27 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.48 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4760
885.2 IPS |
|
|
Image Classification (HP)
|
100% |
4813
895.0 IPS |
|
|
Image Classification (Q)
|
99% |
4283
798.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
7108
115.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7191
116.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
6961
112.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
36706
42.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
38969
45.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
34876
40.9 IPS |
|
|
Object Detection (SP)
|
100% |
4580
363.3 IPS |
|
|
Object Detection (HP)
|
100% |
4663
369.9 IPS |
|
|
Object Detection (Q)
|
92% |
3781
301.8 IPS |
|
|
Face Detection (SP)
|
100% |
15247
181.2 IPS |
|
|
Face Detection (HP)
|
100% |
15900
188.9 IPS |
|
|
Face Detection (Q)
|
100% |
10947
130.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
23510
181.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24324
187.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
24253
187.5 IPS |
|
|
Style Transfer (SP)
|
100% |
67766
87.1 IPS |
|
|
Style Transfer (HP)
|
100% |
73388
94.3 IPS |
|
|
Style Transfer (Q)
|
100% |
73265
94.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13309
491.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13999
516.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10263
380.2 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.0 IPS |
|
|
Text Classification (HP)
|
100% |
566
755.9 IPS |
|
|
Text Classification (Q)
|
93% |
588
789.4 IPS |
|
|
Machine Translation (SP)
|
100% |
955
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
892
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
926
16.0 IPS |
