ASUS System Product Name
Geekbench AI Score
32848
Single Precision Score
56327
Half Precision Score
24799
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rjmaybin |
| Upload Date | May 15 2025 01:04 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z790-CREATOR WIFI |
| Power Plan | Balanced |
| 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% |
13321
2.48 KIPS |
|
|
Image Classification (HP)
|
100% |
19905
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11958
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24916
403.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
36936
598.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22190
360.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
169656
198.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
668367
779.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
148079
173.5 IPS |
|
|
Object Detection (SP)
|
100% |
16604
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
26137
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
14355
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
47420
563.5 IPS |
|
|
Face Detection (HP)
|
100% |
67342
800.2 IPS |
|
|
Face Detection (Q)
|
97% |
39852
475.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
83992
647.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
139418
1.07 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62010
495.2 IPS |
|
|
Style Transfer (SP)
|
100% |
306632
394.2 IPS |
|
|
Style Transfer (HP)
|
100% |
997639
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
257493
332.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47155
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80085
2.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35456
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3999
5.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2383
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
6793
117.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6833
117.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2901
54.4 IPS |
