Mac mini AI - GPU (Sonoma 14.7.1) Mac mini (2023)
Geekbench AI Score
7867
Single Precision Score
8159
Half Precision Score
2697
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | MacXe4ro |
| Upload Date | December 11 2024 01:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.7.1 (Build 23H222) |
| 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% |
4771
887.2 IPS |
|
|
Image Classification (HP)
|
100% |
4861
903.9 IPS |
|
|
Image Classification (Q)
|
97% |
3696
689.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
7148
115.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7238
117.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6844
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
36434
42.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
38722
45.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
35087
41.1 IPS |
|
|
Object Detection (SP)
|
100% |
4539
360.1 IPS |
|
|
Object Detection (HP)
|
100% |
4631
367.3 IPS |
|
|
Object Detection (Q)
|
92% |
3767
300.6 IPS |
|
|
Face Detection (SP)
|
100% |
14979
178.0 IPS |
|
|
Face Detection (HP)
|
100% |
15883
188.7 IPS |
|
|
Face Detection (Q)
|
100% |
10966
130.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
23458
180.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24286
187.1 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
147.0 IPS |
|
|
Style Transfer (SP)
|
100% |
67605
86.9 IPS |
|
|
Style Transfer (HP)
|
100% |
73628
94.6 IPS |
|
|
Style Transfer (Q)
|
96% |
68408
88.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13311
491.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13823
510.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10454
386.0 IPS |
|
|
Text Classification (SP)
|
100% |
520
693.9 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.3 IPS |
|
|
Text Classification (Q)
|
93% |
712
955.4 IPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1091
18.9 IPS |
