ASUS System Product Name
Geekbench AI Score
51441
Single Precision Score
77259
Half Precision Score
37126
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | xpmaster2002 |
| Upload Date | June 02 2025 07:29 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X670E-PLUS WIFI |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17980
3.34 KIPS |
|
|
Image Classification (HP)
|
100% |
23053
4.29 KIPS |
|
|
Image Classification (Q)
|
100% |
15607
2.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
39505
640.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
50954
826.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
35808
582.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
422483
493.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
979038
1.14 KIPS |
|
|
Pose Estimation (Q)
|
96% |
338125
396.1 IPS |
|
|
Object Detection (SP)
|
100% |
26334
2.09 KIPS |
|
|
Object Detection (HP)
|
100% |
34915
2.77 KIPS |
|
|
Object Detection (Q)
|
85% |
21636
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
80816
960.3 IPS |
|
|
Face Detection (HP)
|
100% |
111087
1.32 KIPS |
|
|
Face Detection (Q)
|
97% |
63018
751.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
111003
855.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
200742
1.55 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78670
630.1 IPS |
|
|
Style Transfer (SP)
|
100% |
634533
815.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1892099
2.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
524143
675.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78586
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
103123
3.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55283
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4150
5.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2413
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
8845
152.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9089
156.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3511
65.8 IPS |
