System manufacturer System Product Name
Geekbench AI Score
2489
Single Precision Score
660
Half Precision Score
2373
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 10:51 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% |
1498
278.6 IPS |
|
|
Image Classification (HP)
|
100% |
120
22.3 IPS |
|
|
Image Classification (Q)
|
97% |
2228
415.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
988
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
169
2.74 IPS |
|
|
Image Segmentation (Q)
|
97% |
1583
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6100
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4574
5.34 IPS |
|
|
Pose Estimation (Q)
|
87% |
6642
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
86% |
1318
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2114
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (Q)
|
96% |
3021
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6260
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
775
5.97 IPS |
|
|
Depth Estimation (Q)
|
76% |
4469
36.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13889
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
11058
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11673
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1923
71.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1626
60.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1876
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1175
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
496
661.4 IPS |
|
|
Text Classification (Q)
|
97% |
385
515.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1542
26.6 IPS |
|
|
Machine Translation (HP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (Q)
|
60% |
1617
36.1 IPS |
