MM-Vision Computer
Geekbench AI Score
2452
Single Precision Score
1030
Half Precision Score
2808
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 03:34 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 3900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | MM-Vision Computer |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS (WI-FI) |
| Power Plan | AMD Ryzen High Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 3900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1770
329.2 IPS |
|
|
Image Classification (HP)
|
100% |
363
67.5 IPS |
|
|
Image Classification (Q)
|
96% |
2900
541.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
441
7.14 IPS |
|
|
Image Segmentation (Q)
|
97% |
1577
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6022
7.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4388
5.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
7295
8.62 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
461
36.6 IPS |
|
|
Object Detection (Q)
|
58% |
1998
218.4 IPS |
|
|
Face Detection (SP)
|
100% |
3970
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
1032
12.3 IPS |
|
|
Face Detection (Q)
|
96% |
5696
67.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5845
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1602
12.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
6958
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12396
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10247
13.2 IPS |
|
|
Style Transfer (Q)
|
87% |
12877
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1497
55.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1281
47.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1624
60.2 IPS |
|
|
Text Classification (SP)
|
100% |
822
1.10 KIPS |
|
|
Text Classification (HP)
|
100% |
402
536.7 IPS |
|
|
Text Classification (Q)
|
97% |
323
433.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
479
8.25 IPS |
|
|
Machine Translation (Q)
|
68% |
1710
33.0 IPS |
