ASUS System Product Name
Geekbench AI Score
45565
Single Precision Score
65639
Half Precision Score
34209
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | OmegaJose3691 |
| Upload Date | March 12 2025 01:06 AM |
| Views | 17 |
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. ROG CROSSHAIR X670E HERO |
| Power Plan | Ultimate 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16775
3.12 KIPS |
|
|
Image Classification (HP)
|
100% |
21281
3.96 KIPS |
|
|
Image Classification (Q)
|
100% |
14645
2.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27971
453.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
33623
545.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26378
428.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
405299
472.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
900250
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
321728
376.9 IPS |
|
|
Object Detection (SP)
|
100% |
22736
1.80 KIPS |
|
|
Object Detection (HP)
|
100% |
28814
2.29 KIPS |
|
|
Object Detection (Q)
|
85% |
18963
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
65050
772.9 IPS |
|
|
Face Detection (HP)
|
100% |
83381
990.7 IPS |
|
|
Face Detection (Q)
|
97% |
53787
641.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
113017
870.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
193188
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
81192
650.3 IPS |
|
|
Style Transfer (SP)
|
100% |
629032
808.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1627165
2.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
528912
682.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
76272
2.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97758
3.61 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54155
2.01 KIPS |
|
|
Text Classification (SP)
|
100% |
4267
5.70 KIPS |
|
|
Text Classification (HP)
|
100% |
5235
6.99 KIPS |
|
|
Text Classification (Q)
|
97% |
2541
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5928
102.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2930
55.0 IPS |
