System manufacturer System Product Name
Geekbench AI Score
2547
Single Precision Score
665
Half Precision Score
2383
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 11:42 AM |
| Views | 8 |
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% |
1473
273.9 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
2197
410.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
1589
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6200
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
4666
5.44 IPS |
|
|
Pose Estimation (Q)
|
87% |
6566
7.75 IPS |
|
|
Object Detection (SP)
|
100% |
1662
131.8 IPS |
|
|
Object Detection (HP)
|
100% |
173
13.7 IPS |
|
|
Object Detection (Q)
|
86% |
1337
107.5 IPS |
|
|
Face Detection (SP)
|
100% |
2196
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
262
3.11 IPS |
|
|
Face Detection (Q)
|
96% |
3063
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5711
44.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
807
6.22 IPS |
|
|
Depth Estimation (Q)
|
76% |
4897
39.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13574
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11041
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
11303
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1682
62.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1872
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1325
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
500
667.9 IPS |
|
|
Text Classification (Q)
|
97% |
387
518.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1581
27.2 IPS |
|
|
Machine Translation (HP)
|
100% |
527
9.08 IPS |
|
|
Machine Translation (Q)
|
60% |
1571
35.1 IPS |
