ASUS System Product Name
Geekbench AI Score
46499
Single Precision Score
68807
Half Precision Score
34571
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 22 2025 03:33 AM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D 8-Core Processor |
| 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% |
17128
3.19 KIPS |
|
|
Image Classification (HP)
|
100% |
21716
4.04 KIPS |
|
|
Image Classification (Q)
|
100% |
14684
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
30358
492.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
37518
608.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
29286
476.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
399177
465.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
902716
1.05 KIPS |
|
|
Pose Estimation (Q)
|
96% |
311540
364.9 IPS |
|
|
Object Detection (SP)
|
100% |
25100
1.99 KIPS |
|
|
Object Detection (HP)
|
100% |
33128
2.63 KIPS |
|
|
Object Detection (Q)
|
85% |
20564
1.66 KIPS |
|
|
Face Detection (SP)
|
100% |
69111
821.2 IPS |
|
|
Face Detection (HP)
|
100% |
91675
1.09 KIPS |
|
|
Face Detection (Q)
|
97% |
56005
667.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
109763
845.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
192796
1.49 KIPS |
|
|
Depth Estimation (Q)
|
77% |
78291
627.1 IPS |
|
|
Style Transfer (SP)
|
100% |
619622
796.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1741318
2.24 KIPS |
|
|
Style Transfer (Q)
|
98% |
525076
677.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74483
2.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98381
3.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
53806
1.99 KIPS |
|
|
Text Classification (SP)
|
100% |
4117
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5025
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2373
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6293
108.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6417
110.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3011
56.5 IPS |
