System manufacturer System Product Name
Geekbench AI Score
2460
Single Precision Score
658
Half Precision Score
2383
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 09:43 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% |
1514
281.6 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
97% |
2233
416.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
168
2.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1615
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5957
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
4528
5.28 IPS |
|
|
Pose Estimation (Q)
|
87% |
6578
7.77 IPS |
|
|
Object Detection (SP)
|
100% |
1529
121.3 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
1317
105.9 IPS |
|
|
Face Detection (SP)
|
100% |
2171
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
260
3.10 IPS |
|
|
Face Detection (Q)
|
96% |
2951
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5970
46.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
4803
38.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12599
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
10957
14.1 IPS |
|
|
Style Transfer (Q)
|
87% |
11738
15.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1815
67.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1875
69.5 IPS |
|
|
Text Classification (SP)
|
100% |
1306
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
468
625.1 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
60% |
1571
35.0 IPS |
