ASUS System Product Name
Geekbench AI Score
21064
Single Precision Score
31900
Half Precision Score
13494
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | phoexander |
| Upload Date | November 29 2025 09:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B560M-PLUS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10700KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.79 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7945
1.48 KIPS |
|
|
Image Classification (HP)
|
99% |
12588
2.35 KIPS |
|
|
Image Classification (Q)
|
100% |
5661
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13343
216.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
17850
289.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10377
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
129782
151.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
333479
389.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
103753
121.6 IPS |
|
|
Object Detection (SP)
|
100% |
10495
832.5 IPS |
|
|
Object Detection (HP)
|
100% |
14561
1.16 KIPS |
|
|
Object Detection (Q)
|
85% |
7487
602.3 IPS |
|
|
Face Detection (SP)
|
100% |
28387
337.3 IPS |
|
|
Face Detection (HP)
|
100% |
37701
448.0 IPS |
|
|
Face Detection (Q)
|
97% |
20349
242.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
59038
454.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97938
754.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
35804
286.8 IPS |
|
|
Style Transfer (SP)
|
100% |
230825
296.7 IPS |
|
|
Style Transfer (HP)
|
100% |
528220
679.0 IPS |
|
|
Style Transfer (Q)
|
98% |
172997
223.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32581
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43918
1.62 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18720
693.2 IPS |
|
|
Text Classification (SP)
|
100% |
2731
3.65 KIPS |
|
|
Text Classification (HP)
|
99% |
3370
4.50 KIPS |
|
|
Text Classification (Q)
|
97% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3465
59.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1403
26.3 IPS |
