System manufacturer System Product Name
Geekbench AI Score
2453
Single Precision Score
656
Half Precision Score
2362
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 11:13 AM |
| Views | 3 |
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% |
1384
257.4 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.8 IPS |
|
|
Image Classification (Q)
|
97% |
2205
411.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
939
15.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1566
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6042
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
4517
5.27 IPS |
|
|
Pose Estimation (Q)
|
87% |
6508
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
1499
118.9 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
86% |
1330
106.9 IPS |
|
|
Face Detection (SP)
|
100% |
2161
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
261
3.10 IPS |
|
|
Face Detection (Q)
|
96% |
2932
35.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5894
45.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
804
6.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
4745
38.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12087
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9736
12.5 IPS |
|
|
Style Transfer (Q)
|
87% |
11446
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1641
60.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1838
68.1 IPS |
|
|
Text Classification (SP)
|
100% |
1323
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
97% |
393
525.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1636
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
569
9.81 IPS |
|
|
Machine Translation (Q)
|
60% |
1574
35.1 IPS |
