System manufacturer System Product Name
Geekbench AI Score
2497
Single Precision Score
658
Half Precision Score
2322
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 10:25 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% |
1413
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
124
23.0 IPS |
|
|
Image Classification (Q)
|
97% |
2193
409.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1573
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5662
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
4600
5.37 IPS |
|
|
Pose Estimation (Q)
|
87% |
6412
7.57 IPS |
|
|
Object Detection (SP)
|
100% |
1532
121.5 IPS |
|
|
Object Detection (HP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (Q)
|
86% |
1288
103.5 IPS |
|
|
Face Detection (SP)
|
100% |
2181
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
253
3.01 IPS |
|
|
Face Detection (Q)
|
96% |
2910
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
789
6.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
4345
35.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13219
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11062
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11348
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2065
76.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1746
64.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1864
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
1319
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.8 IPS |
|
|
Text Classification (Q)
|
97% |
382
511.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1635
28.2 IPS |
|
|
Machine Translation (HP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (Q)
|
60% |
1569
35.0 IPS |
