ASUS System Product Name
Geekbench AI Score
11656
Single Precision Score
20161
Half Precision Score
8217
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cubbieco |
| Upload Date | September 11 2025 05:16 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4953
921.0 IPS |
|
|
Image Classification (HP)
|
100% |
8479
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
3811
710.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8350
135.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
12161
197.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
6880
111.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
54509
63.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152712
178.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
45660
53.5 IPS |
|
|
Object Detection (SP)
|
100% |
5956
472.5 IPS |
|
|
Object Detection (HP)
|
100% |
10276
815.1 IPS |
|
|
Object Detection (Q)
|
84% |
4697
378.9 IPS |
|
|
Face Detection (SP)
|
100% |
14090
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
23096
274.4 IPS |
|
|
Face Detection (Q)
|
97% |
11546
137.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28564
220.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
56538
435.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
20354
162.6 IPS |
|
|
Style Transfer (SP)
|
100% |
96986
124.7 IPS |
|
|
Style Transfer (HP)
|
100% |
234513
301.5 IPS |
|
|
Style Transfer (Q)
|
98% |
77852
100.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16918
624.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28652
1.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10218
378.4 IPS |
|
|
Text Classification (SP)
|
100% |
1624
2.17 KIPS |
|
|
Text Classification (HP)
|
99% |
2438
3.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1006
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3216
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3206
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1327
24.9 IPS |
