System manufacturer System Product Name
Geekbench AI Score
2439
Single Precision Score
669
Half Precision Score
2375
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 10:02 AM |
| Views | 2 |
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% |
1179
219.3 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.6 IPS |
|
|
Image Classification (Q)
|
97% |
2192
409.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
1580
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5920
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (Q)
|
87% |
6416
7.58 IPS |
|
|
Object Detection (SP)
|
100% |
1621
128.6 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
1325
106.5 IPS |
|
|
Face Detection (SP)
|
100% |
2164
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
259
3.08 IPS |
|
|
Face Detection (Q)
|
96% |
2977
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5612
43.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
797
6.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
4771
38.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13592
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11036
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11664
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1943
71.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1755
64.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1858
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
1302
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
488
650.7 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
572
9.86 IPS |
|
|
Machine Translation (Q)
|
60% |
1629
36.3 IPS |
