ASUS System Product Name
Geekbench AI Score
3563
Single Precision Score
1550
Half Precision Score
5312
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | RAMFlux |
| Upload Date | May 09 2025 04:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B550M-A AC |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2841
528.4 IPS |
|
|
Image Classification (HP)
|
100% |
594
110.4 IPS |
|
|
Image Classification (Q)
|
96% |
5220
974.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
836
13.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
2727
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4987
5.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
4274
4.99 IPS |
|
|
Pose Estimation (Q)
|
86% |
11456
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
747
59.3 IPS |
|
|
Object Detection (Q)
|
58% |
3621
395.6 IPS |
|
|
Face Detection (SP)
|
100% |
5595
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
96% |
8641
103.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7655
59.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2183
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
11552
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13179
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10567
13.6 IPS |
|
|
Style Transfer (Q)
|
87% |
16185
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2310
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2145
79.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3254
120.6 IPS |
|
|
Text Classification (SP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
770
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
1565
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2538
43.7 IPS |
|
|
Machine Translation (HP)
|
100% |
799
13.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3687
71.2 IPS |
