ASUS System Product Name
Geekbench AI Score
1889
Single Precision Score
2026
Half Precision Score
1482
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | October 03 2024 11:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
611
113.6 IPS |
|
|
Image Classification (HP)
|
100% |
593
110.4 IPS |
|
|
Image Classification (Q)
|
100% |
576
107.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
995
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6679
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
10924
12.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
5955
6.98 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.2 IPS |
|
|
Object Detection (HP)
|
100% |
630
50.0 IPS |
|
|
Object Detection (Q)
|
89% |
562
45.0 IPS |
|
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
|
Face Detection (HP)
|
100% |
1832
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1540
18.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3508
27.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4210
32.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
2999
24.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11340
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
16309
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
9962
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2822
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2133
79.0 IPS |
|
|
Text Classification (SP)
|
100% |
742
989.8 IPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
520
696.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1264
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1200
20.7 IPS |
|
|
Machine Translation (Q)
|
60% |
523
11.7 IPS |
