ASUS System Product Name
Geekbench AI Score
21734
Single Precision Score
40154
Half Precision Score
16793
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 09 2025 09:34 AM |
| Views | 7 |
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% |
8824
1.64 KIPS |
|
|
Image Classification (HP)
|
100% |
15742
2.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8124
1.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15300
248.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23056
373.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14421
234.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
116706
136.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
373124
435.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
109295
128.0 IPS |
|
|
Object Detection (SP)
|
100% |
10760
853.5 IPS |
|
|
Object Detection (HP)
|
100% |
18715
1.48 KIPS |
|
|
Object Detection (Q)
|
83% |
9455
763.9 IPS |
|
|
Face Detection (SP)
|
100% |
27787
330.2 IPS |
|
|
Face Detection (HP)
|
100% |
44763
531.9 IPS |
|
|
Face Detection (Q)
|
97% |
24411
291.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
51872
399.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108179
833.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
41695
332.8 IPS |
|
|
Style Transfer (SP)
|
100% |
165925
213.3 IPS |
|
|
Style Transfer (HP)
|
100% |
580275
746.0 IPS |
|
|
Style Transfer (Q)
|
98% |
141940
183.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33110
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65519
2.42 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24261
898.4 IPS |
|
|
Text Classification (SP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (HP)
|
100% |
4651
6.21 KIPS |
|
|
Text Classification (Q)
|
97% |
2210
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4693
80.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5022
86.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1903
35.7 IPS |
