ASUS System Product Name
Geekbench AI Score
27146
Single Precision Score
49702
Half Precision Score
20894
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | December 21 2025 06:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B850M MAX GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 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% |
11168
2.08 KIPS |
|
|
Image Classification (HP)
|
100% |
19106
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
10321
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20774
336.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29481
477.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19007
309.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
142776
166.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
462564
539.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
132014
154.6 IPS |
|
|
Object Detection (SP)
|
100% |
14333
1.14 KIPS |
|
|
Object Detection (HP)
|
100% |
25550
2.03 KIPS |
|
|
Object Detection (Q)
|
83% |
12133
980.3 IPS |
|
|
Face Detection (SP)
|
100% |
37208
442.1 IPS |
|
|
Face Detection (HP)
|
100% |
62502
742.7 IPS |
|
|
Face Detection (Q)
|
97% |
31905
380.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
64635
498.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
134384
1.04 KIPS |
|
|
Depth Estimation (Q)
|
78% |
51212
408.8 IPS |
|
|
Style Transfer (SP)
|
100% |
203604
261.7 IPS |
|
|
Style Transfer (HP)
|
100% |
707052
908.9 IPS |
|
|
Style Transfer (Q)
|
98% |
175844
226.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39039
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73341
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30090
1.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4528
6.04 KIPS |
|
|
Text Classification (Q)
|
97% |
2496
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
6259
107.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7007
120.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2339
43.9 IPS |
