System manufacturer System Product Name
Geekbench AI Score
2508
Single Precision Score
648
Half Precision Score
2357
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 09:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3800XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B450-PLUS |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3800XT |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.6 IPS |
|
|
Image Classification (Q)
|
97% |
2168
404.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.68 IPS |
|
|
Image Segmentation (Q)
|
97% |
1614
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6190
7.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
4802
5.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
6523
7.71 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (Q)
|
86% |
1281
102.9 IPS |
|
|
Face Detection (SP)
|
100% |
2189
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
252
2.99 IPS |
|
|
Face Detection (Q)
|
96% |
3017
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6027
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
796
6.13 IPS |
|
|
Depth Estimation (Q)
|
76% |
4831
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13811
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10716
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11615
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2042
75.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1435
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1829
67.8 IPS |
|
|
Text Classification (SP)
|
100% |
1262
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
481
642.1 IPS |
|
|
Text Classification (Q)
|
97% |
375
502.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1572
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
544
9.37 IPS |
|
|
Machine Translation (Q)
|
60% |
1563
34.9 IPS |
