ASUS System Product Name
Geekbench AI Score
49782
Single Precision Score
75567
Half Precision Score
36393
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 29 2025 06:48 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. B850M MAX GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
17797
3.31 KIPS |
|
|
Image Classification (HP)
|
100% |
23247
4.32 KIPS |
|
|
Image Classification (Q)
|
100% |
15157
2.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38990
632.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
50818
823.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
36047
586.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
406791
474.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
1014886
1.18 KIPS |
|
|
Pose Estimation (Q)
|
96% |
327839
384.0 IPS |
|
|
Object Detection (SP)
|
100% |
25561
2.03 KIPS |
|
|
Object Detection (HP)
|
100% |
34055
2.70 KIPS |
|
|
Object Detection (Q)
|
85% |
21067
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
76986
914.8 IPS |
|
|
Face Detection (HP)
|
100% |
104344
1.24 KIPS |
|
|
Face Detection (Q)
|
97% |
60712
724.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
108620
836.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
198012
1.53 KIPS |
|
|
Depth Estimation (Q)
|
77% |
77947
624.3 IPS |
|
|
Style Transfer (SP)
|
100% |
618047
794.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1793799
2.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
515588
664.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
78305
2.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
104207
3.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55416
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
4185
5.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5000
6.67 KIPS |
|
|
Text Classification (Q)
|
97% |
2464
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
7651
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
7701
132.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3242
60.8 IPS |
