System manufacturer System Product Name
Geekbench AI Score
2521
Single Precision Score
664
Half Precision Score
2388
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 11:27 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% |
1401
260.4 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
2260
421.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
965
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.72 IPS |
|
|
Image Segmentation (Q)
|
97% |
1580
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5979
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4818
5.62 IPS |
|
|
Pose Estimation (Q)
|
87% |
6679
7.89 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
172
13.6 IPS |
|
|
Object Detection (Q)
|
86% |
1311
105.4 IPS |
|
|
Face Detection (SP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
263
3.12 IPS |
|
|
Face Detection (Q)
|
96% |
2962
35.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6174
47.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
4825
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13844
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10723
13.8 IPS |
|
|
Style Transfer (Q)
|
87% |
11435
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1870
69.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1607
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.9 IPS |
|
|
Text Classification (Q)
|
97% |
391
523.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1676
28.9 IPS |
|
|
Machine Translation (HP)
|
100% |
556
9.58 IPS |
|
|
Machine Translation (Q)
|
60% |
1606
35.8 IPS |
