ASUS System Product Name
Geekbench AI Score
18270
Single Precision Score
27891
Half Precision Score
12086
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 08 2025 08:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B460M-PLUS (WI-FI) |
| Power Plan | Alto rendimiento |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 3.31 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6989
1.30 KIPS |
|
|
Image Classification (HP)
|
99% |
10650
1.99 KIPS |
|
|
Image Classification (Q)
|
100% |
4927
916.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
11590
187.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15667
254.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9437
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
112722
131.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
282136
329.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
92721
108.6 IPS |
|
|
Object Detection (SP)
|
100% |
9123
723.7 IPS |
|
|
Object Detection (HP)
|
100% |
13603
1.08 KIPS |
|
|
Object Detection (Q)
|
85% |
6981
562.0 IPS |
|
|
Face Detection (SP)
|
100% |
22655
269.2 IPS |
|
|
Face Detection (HP)
|
100% |
31864
378.6 IPS |
|
|
Face Detection (Q)
|
97% |
16913
201.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
49191
379.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
87572
674.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
31850
255.1 IPS |
|
|
Style Transfer (SP)
|
100% |
174514
224.3 IPS |
|
|
Style Transfer (HP)
|
100% |
422452
543.1 IPS |
|
|
Style Transfer (Q)
|
98% |
140166
180.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32058
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
41312
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17987
666.0 IPS |
|
|
Text Classification (SP)
|
100% |
2482
3.31 KIPS |
|
|
Text Classification (HP)
|
99% |
3054
4.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1188
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3215
55.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2992
51.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1370
25.7 IPS |
