ASUS System Product Name
Geekbench AI Score
1162
Single Precision Score
634
Half Precision Score
1242
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| Upload Date | March 14 2026 03:14 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2600X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B450-PLUS II |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
856
159.2 IPS |
|
|
Image Classification (HP)
|
100% |
267
49.6 IPS |
|
|
Image Classification (Q)
|
96% |
1016
189.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1657
1.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
1334
1.56 IPS |
|
|
Pose Estimation (Q)
|
86% |
1920
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
778
61.7 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
58% |
675
73.7 IPS |
|
|
Face Detection (SP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
720
8.56 IPS |
|
|
Face Detection (Q)
|
96% |
2424
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2167
16.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
938
7.22 IPS |
|
|
Depth Estimation (Q)
|
78% |
2415
19.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4256
5.47 IPS |
|
|
Style Transfer (HP)
|
100% |
3629
4.67 IPS |
|
|
Style Transfer (Q)
|
87% |
4567
5.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
742
27.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1015
37.6 IPS |
|
|
Text Classification (SP)
|
100% |
664
886.4 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.9 IPS |
|
|
Text Classification (Q)
|
97% |
248
332.6 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
459
7.91 IPS |
|
|
Machine Translation (Q)
|
68% |
984
19.0 IPS |
