System manufacturer System Product Name
Geekbench AI Score
2479
Single Precision Score
654
Half Precision Score
2362
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 09:29 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% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
2134
398.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
950
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
97% |
1545
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5488
6.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4327
5.05 IPS |
|
|
Pose Estimation (Q)
|
87% |
6476
7.65 IPS |
|
|
Object Detection (SP)
|
100% |
1619
128.4 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
86% |
1303
104.7 IPS |
|
|
Face Detection (SP)
|
100% |
2239
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
254
3.02 IPS |
|
|
Face Detection (Q)
|
96% |
3023
36.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5845
45.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
797
6.14 IPS |
|
|
Depth Estimation (Q)
|
76% |
4825
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13818
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
10819
13.9 IPS |
|
|
Style Transfer (Q)
|
87% |
11512
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1834
68.0 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
488
651.0 IPS |
|
|
Text Classification (Q)
|
97% |
387
517.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1598
27.5 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
60% |
1636
36.5 IPS |
