ASUS System Product Name
Geekbench AI Score
17243
Single Precision Score
26592
Half Precision Score
11537
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | akadetonator |
| Upload Date | April 25 2025 11:23 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 HERO |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7299
1.36 KIPS |
|
|
Image Classification (HP)
|
100% |
10174
1.89 KIPS |
|
|
Image Classification (Q)
|
99% |
5048
941.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
10840
175.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14003
227.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8551
139.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
93570
109.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
290976
339.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
81151
95.1 IPS |
|
|
Object Detection (SP)
|
100% |
8642
685.5 IPS |
|
|
Object Detection (HP)
|
100% |
12015
953.0 IPS |
|
|
Object Detection (Q)
|
85% |
6476
521.3 IPS |
|
|
Face Detection (SP)
|
100% |
21366
253.9 IPS |
|
|
Face Detection (HP)
|
100% |
30615
363.8 IPS |
|
|
Face Detection (Q)
|
97% |
16181
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
47835
368.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73930
569.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
30366
243.3 IPS |
|
|
Style Transfer (SP)
|
100% |
192511
247.5 IPS |
|
|
Style Transfer (HP)
|
100% |
406972
523.2 IPS |
|
|
Style Transfer (Q)
|
98% |
143850
185.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29094
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
37863
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16461
609.5 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
99% |
3308
4.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1183
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3077
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3078
53.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1339
25.1 IPS |
