System manufacturer System Product Name
Geekbench AI Score
2445
Single Precision Score
645
Half Precision Score
2371
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | Sufferage |
| Upload Date | August 31 2024 11:34 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% |
1359
252.8 IPS |
|
|
Image Classification (HP)
|
100% |
121
22.5 IPS |
|
|
Image Classification (Q)
|
97% |
2190
408.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
931
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
166
2.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
1613
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5604
6.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
4277
4.99 IPS |
|
|
Pose Estimation (Q)
|
87% |
6381
7.54 IPS |
|
|
Object Detection (SP)
|
100% |
1608
127.6 IPS |
|
|
Object Detection (HP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (Q)
|
86% |
1310
105.3 IPS |
|
|
Face Detection (SP)
|
100% |
2170
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
252
3.00 IPS |
|
|
Face Detection (Q)
|
96% |
3007
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.10 IPS |
|
|
Depth Estimation (Q)
|
76% |
4753
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13718
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8959
11.5 IPS |
|
|
Style Transfer (Q)
|
87% |
11498
15.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1767
65.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1711
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1874
69.4 IPS |
|
|
Text Classification (SP)
|
100% |
1275
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
492
656.7 IPS |
|
|
Text Classification (Q)
|
97% |
392
525.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1621
27.9 IPS |
|
|
Machine Translation (HP)
|
100% |
553
9.52 IPS |
|
|
Machine Translation (Q)
|
60% |
1581
35.3 IPS |
