ASUS System Product Name
Geekbench AI Score
50956
Single Precision Score
75274
Half Precision Score
36897
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | February 13 2025 03:51 PM |
| Views | 5 |
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% |
19644
3.65 KIPS |
|
|
Image Classification (HP)
|
100% |
24161
4.49 KIPS |
|
|
Image Classification (Q)
|
100% |
16194
3.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33897
549.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
42177
683.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
32921
535.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
421014
491.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
990466
1.16 KIPS |
|
|
Pose Estimation (Q)
|
94% |
338480
397.0 IPS |
|
|
Object Detection (SP)
|
100% |
26240
2.08 KIPS |
|
|
Object Detection (HP)
|
100% |
34499
2.74 KIPS |
|
|
Object Detection (Q)
|
89% |
20977
1.68 KIPS |
|
|
Face Detection (SP)
|
100% |
72732
864.2 IPS |
|
|
Face Detection (HP)
|
100% |
95867
1.14 KIPS |
|
|
Face Detection (Q)
|
97% |
57965
691.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
118111
910.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
201386
1.55 KIPS |
|
|
Depth Estimation (Q)
|
76% |
82446
664.5 IPS |
|
|
Style Transfer (SP)
|
100% |
669057
860.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1888104
2.43 KIPS |
|
|
Style Transfer (Q)
|
98% |
568836
733.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
83988
3.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
109462
4.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
58966
2.18 KIPS |
|
|
Text Classification (SP)
|
100% |
4732
6.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5895
7.87 KIPS |
|
|
Text Classification (Q)
|
97% |
2793
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
7024
121.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7131
122.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2760
61.6 IPS |
