ASUS System Product Name
Geekbench AI Score
21927
Single Precision Score
42584
Half Precision Score
16612
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 19 2025 10:04 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8979
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
17627
3.28 KIPS |
|
|
Image Classification (Q)
|
99% |
8038
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16789
272.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
27963
453.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15299
248.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
101802
118.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
333636
389.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
85425
100.1 IPS |
|
|
Object Detection (SP)
|
100% |
12152
963.9 IPS |
|
|
Object Detection (HP)
|
100% |
21972
1.74 KIPS |
|
|
Object Detection (Q)
|
83% |
10415
841.5 IPS |
|
|
Face Detection (SP)
|
100% |
29856
354.8 IPS |
|
|
Face Detection (HP)
|
100% |
54252
644.6 IPS |
|
|
Face Detection (Q)
|
97% |
25842
308.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
50628
390.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
110018
847.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
39979
319.6 IPS |
|
|
Style Transfer (SP)
|
100% |
155775
200.3 IPS |
|
|
Style Transfer (HP)
|
100% |
563009
723.8 IPS |
|
|
Style Transfer (Q)
|
98% |
131199
169.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30129
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60559
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23102
855.4 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4231
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2186
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5685
97.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6304
108.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2138
40.1 IPS |
