Ryzen 9 5900XT with 64GB of 3600 DDR4, OC'd to 3733 Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
15457
Single Precision Score
25977
Half Precision Score
10568
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 21 2024 02:47 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900XT 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6546
1.22 KIPS |
|
|
Image Classification (HP)
|
99% |
10604
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
4901
914.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
10671
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
16044
260.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
8398
136.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
76717
89.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
190840
222.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
64044
75.0 IPS |
|
|
Object Detection (SP)
|
100% |
7698
610.6 IPS |
|
|
Object Detection (HP)
|
100% |
13942
1.11 KIPS |
|
|
Object Detection (Q)
|
84% |
6039
487.1 IPS |
|
|
Face Detection (SP)
|
100% |
19267
228.9 IPS |
|
|
Face Detection (HP)
|
100% |
30206
358.9 IPS |
|
|
Face Detection (Q)
|
97% |
15250
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35956
277.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
71466
552.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
25059
200.6 IPS |
|
|
Style Transfer (SP)
|
100% |
126898
163.1 IPS |
|
|
Style Transfer (HP)
|
100% |
313655
403.2 IPS |
|
|
Style Transfer (Q)
|
98% |
102759
132.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23200
856.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37331
1.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14630
541.7 IPS |
|
|
Text Classification (SP)
|
100% |
2463
3.29 KIPS |
|
|
Text Classification (HP)
|
99% |
3174
4.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1297
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3757
64.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1466
27.5 IPS |
