ASUS System Product Name
Geekbench AI Score
49192
Single Precision Score
71776
Half Precision Score
35897
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 07:51 PM |
| Views | 3 |
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. PRIME B650-PLUS |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| 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% |
17502
3.25 KIPS |
|
|
Image Classification (HP)
|
100% |
21950
4.08 KIPS |
|
|
Image Classification (Q)
|
100% |
15181
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35186
570.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
44267
717.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
31344
509.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
436442
509.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
1057580
1.23 KIPS |
|
|
Pose Estimation (Q)
|
96% |
352088
412.4 IPS |
|
|
Object Detection (SP)
|
100% |
25398
2.01 KIPS |
|
|
Object Detection (HP)
|
100% |
32984
2.62 KIPS |
|
|
Object Detection (Q)
|
85% |
20706
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
75956
902.5 IPS |
|
|
Face Detection (HP)
|
100% |
101704
1.21 KIPS |
|
|
Face Detection (Q)
|
97% |
60988
727.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
113959
878.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
177314
1.37 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73905
591.9 IPS |
|
|
Style Transfer (SP)
|
100% |
634760
816.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1713358
2.20 KIPS |
|
|
Style Transfer (Q)
|
98% |
529681
683.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78498
2.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
101526
3.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55150
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
4062
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
4779
6.38 KIPS |
|
|
Text Classification (Q)
|
97% |
2436
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
6939
119.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7142
123.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3194
59.9 IPS |
