ASUS System Product Name
Geekbench AI Score
22148
Single Precision Score
41047
Half Precision Score
17084
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 12 2025 09:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B860M-A |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9006
1.67 KIPS |
|
|
Image Classification (HP)
|
100% |
16293
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8302
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16154
261.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
24356
394.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14801
240.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
119309
139.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
383672
447.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
110706
129.7 IPS |
|
|
Object Detection (SP)
|
100% |
11253
892.6 IPS |
|
|
Object Detection (HP)
|
100% |
20026
1.59 KIPS |
|
|
Object Detection (Q)
|
83% |
9701
783.8 IPS |
|
|
Face Detection (SP)
|
100% |
28127
334.2 IPS |
|
|
Face Detection (HP)
|
100% |
44595
529.9 IPS |
|
|
Face Detection (Q)
|
97% |
24944
297.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
52888
407.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
108714
837.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
42283
337.5 IPS |
|
|
Style Transfer (SP)
|
100% |
168414
216.5 IPS |
|
|
Style Transfer (HP)
|
100% |
579151
744.5 IPS |
|
|
Style Transfer (Q)
|
98% |
143375
184.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33447
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65717
2.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24508
907.5 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
100% |
4533
6.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2215
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4861
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5325
91.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1956
36.7 IPS |
