System manufacturer System Product Name
Geekbench AI Score
2380
Single Precision Score
663
Half Precision Score
2362
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 10:21 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% |
1242
230.9 IPS |
|
|
Image Classification (HP)
|
100% |
125
23.3 IPS |
|
|
Image Classification (Q)
|
97% |
2232
416.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
167
2.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
1610
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5874
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4808
5.61 IPS |
|
|
Pose Estimation (Q)
|
87% |
6491
7.67 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
1319
106.0 IPS |
|
|
Face Detection (SP)
|
100% |
2148
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
255
3.03 IPS |
|
|
Face Detection (Q)
|
96% |
2997
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5411
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
800
6.16 IPS |
|
|
Depth Estimation (Q)
|
76% |
4812
38.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12780
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11142
14.3 IPS |
|
|
Style Transfer (Q)
|
87% |
11583
15.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1945
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1771
65.6 IPS |
|
|
Text Classification (SP)
|
100% |
1281
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
492
657.0 IPS |
|
|
Text Classification (Q)
|
97% |
383
513.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1599
27.6 IPS |
|
|
Machine Translation (HP)
|
100% |
520
8.96 IPS |
|
|
Machine Translation (Q)
|
60% |
1551
34.6 IPS |
