ASUS TUF 3090 OC (Stock) with 5800X3D, 2x16 GB DDR4-3600 X570S PG Riptide
Geekbench AI Score
24031
Single Precision Score
35336
Half Precision Score
14357
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | bkelly |
| Upload Date | October 03 2024 02:45 PM |
| Views | 8 |
| Notes | Stock curves and power limit (100%) on this 3090 running in Win 11. |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570S PG Riptide |
| Motherboard | ASRock X570S PG Riptide |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9101
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
12257
2.29 KIPS |
|
|
Image Classification (Q)
|
100% |
5813
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15942
258.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21372
346.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11610
188.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
172295
201.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
353981
413.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
131050
153.5 IPS |
|
|
Object Detection (SP)
|
100% |
11832
938.5 IPS |
|
|
Object Detection (HP)
|
100% |
16235
1.29 KIPS |
|
|
Object Detection (Q)
|
89% |
7521
602.1 IPS |
|
|
Face Detection (SP)
|
100% |
30845
366.5 IPS |
|
|
Face Detection (HP)
|
100% |
42520
505.2 IPS |
|
|
Face Detection (Q)
|
97% |
19848
236.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
58669
452.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103051
793.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
34714
279.8 IPS |
|
|
Style Transfer (SP)
|
100% |
278337
357.8 IPS |
|
|
Style Transfer (HP)
|
100% |
641159
824.2 IPS |
|
|
Style Transfer (Q)
|
98% |
198627
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38160
1.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51534
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21790
806.9 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
99% |
3340
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1419
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4203
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4170
71.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1322
29.5 IPS |
