ASUS System Product Name
Geekbench AI Score
42092
Single Precision Score
50673
Half Precision Score
32874
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 01 2025 11:16 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-I GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18608
3.46 KIPS |
|
|
Image Classification (HP)
|
100% |
19742
3.67 KIPS |
|
|
Image Classification (Q)
|
99% |
16019
2.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27918
452.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
25385
411.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
25507
414.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
298182
347.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
528966
617.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
257258
301.3 IPS |
|
|
Object Detection (SP)
|
100% |
21335
1.69 KIPS |
|
|
Object Detection (HP)
|
99% |
23036
1.83 KIPS |
|
|
Object Detection (Q)
|
87% |
18495
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
61966
736.3 IPS |
|
|
Face Detection (HP)
|
100% |
71321
847.4 IPS |
|
|
Face Detection (Q)
|
97% |
52853
630.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
83314
641.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
111243
857.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
66140
530.0 IPS |
|
|
Style Transfer (SP)
|
100% |
483867
622.0 IPS |
|
|
Style Transfer (HP)
|
100% |
770250
990.2 IPS |
|
|
Style Transfer (Q)
|
98% |
424526
547.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55950
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76559
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45641
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
5240
6.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5262
7.02 KIPS |
|
|
Text Classification (Q)
|
97% |
3266
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
7213
124.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7425
127.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3428
64.3 IPS |
