ASUS System Product Name
Geekbench AI Score
22581
Single Precision Score
40964
Half Precision Score
17516
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-A WIFI II |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9718
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
17103
3.18 KIPS |
|
|
Image Classification (Q)
|
100% |
8961
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14292
231.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19906
322.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13448
218.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
123155
143.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
383853
447.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
110746
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
11753
932.2 IPS |
|
|
Object Detection (HP)
|
100% |
20804
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10227
826.3 IPS |
|
|
Face Detection (SP)
|
100% |
28543
339.2 IPS |
|
|
Face Detection (HP)
|
100% |
45356
538.9 IPS |
|
|
Face Detection (Q)
|
97% |
24961
297.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
55393
426.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
114907
885.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
44736
357.1 IPS |
|
|
Style Transfer (SP)
|
100% |
173001
222.4 IPS |
|
|
Style Transfer (HP)
|
100% |
595785
765.9 IPS |
|
|
Style Transfer (Q)
|
98% |
150416
194.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34682
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67633
2.50 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26333
975.1 IPS |
|
|
Text Classification (SP)
|
100% |
4027
5.38 KIPS |
|
|
Text Classification (HP)
|
100% |
5016
6.69 KIPS |
|
|
Text Classification (Q)
|
97% |
2427
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4489
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4647
80.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1856
34.8 IPS |
