ASUS System Product Name
Geekbench AI Score
51220
Single Precision Score
75741
Half Precision Score
36971
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | February 13 2025 03:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
19634
3.65 KIPS |
|
|
Image Classification (HP)
|
100% |
24349
4.53 KIPS |
|
|
Image Classification (Q)
|
100% |
16016
2.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33900
549.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
42627
691.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
32773
532.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
430964
502.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
1030903
1.20 KIPS |
|
|
Pose Estimation (Q)
|
94% |
336679
394.9 IPS |
|
|
Object Detection (SP)
|
100% |
26447
2.10 KIPS |
|
|
Object Detection (HP)
|
100% |
34479
2.73 KIPS |
|
|
Object Detection (Q)
|
89% |
20973
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
72978
867.1 IPS |
|
|
Face Detection (HP)
|
100% |
95686
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
58020
691.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
119024
917.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
203301
1.57 KIPS |
|
|
Depth Estimation (Q)
|
76% |
82872
668.0 IPS |
|
|
Style Transfer (SP)
|
100% |
674802
867.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1895788
2.44 KIPS |
|
|
Style Transfer (Q)
|
98% |
571860
737.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
84432
3.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
108631
4.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59217
2.19 KIPS |
|
|
Text Classification (SP)
|
100% |
4693
6.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5856
7.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2793
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7054
121.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7179
123.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2831
63.1 IPS |
