System manufacturer System Product Name
Geekbench AI Score
2464
Single Precision Score
654
Half Precision Score
2354
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 10:17 AM |
| Views | 11 |
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% |
1398
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
2205
411.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
1615
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6088
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
4597
5.36 IPS |
|
|
Pose Estimation (Q)
|
87% |
6586
7.78 IPS |
|
|
Object Detection (SP)
|
100% |
1589
126.0 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
1222
98.2 IPS |
|
|
Face Detection (SP)
|
100% |
2214
26.3 IPS |
|
|
Face Detection (HP)
|
100% |
256
3.04 IPS |
|
|
Face Detection (Q)
|
96% |
2986
35.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5796
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
818
6.31 IPS |
|
|
Depth Estimation (Q)
|
76% |
4787
38.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13354
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
11100
14.3 IPS |
|
|
Style Transfer (Q)
|
87% |
11403
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2031
75.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1341
49.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1775
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
488
651.6 IPS |
|
|
Text Classification (Q)
|
97% |
389
521.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
577
9.94 IPS |
|
|
Machine Translation (Q)
|
60% |
1621
36.2 IPS |
