Ryzen 9 5900XT with 64GB of 3600 DDR4, OC'd to 3733 Micro-Star International Co., Ltd. MS-7C56
Geekbench AI Score
4804
Single Precision Score
1691
Half Precision Score
6566
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | darronb |
| Upload Date | December 21 2024 02:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900XT 16-Core Processor |
| 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% |
3583
666.3 IPS |
|
|
Image Classification (HP)
|
100% |
569
105.8 IPS |
|
|
Image Classification (Q)
|
96% |
6250
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3283
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12375
14.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7205
8.41 IPS |
|
|
Pose Estimation (Q)
|
86% |
22871
27.0 IPS |
|
|
Object Detection (SP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (HP)
|
100% |
710
56.3 IPS |
|
|
Object Detection (Q)
|
58% |
5017
548.2 IPS |
|
|
Face Detection (SP)
|
100% |
6993
83.1 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
10401
124.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11986
92.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2605
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16196
129.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25082
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21233
27.3 IPS |
|
|
Style Transfer (Q)
|
87% |
23349
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2663
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2108
77.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3462
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
1346
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
629
840.2 IPS |
|
|
Text Classification (Q)
|
97% |
1397
1.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2352
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3329
64.3 IPS |
