ASRock X670E Steel Legend
Geekbench AI Score
42270
Single Precision Score
59063
Half Precision Score
31387
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | March 28 2025 07:11 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14858
2.76 KIPS |
|
|
Image Classification (HP)
|
99% |
20204
3.77 KIPS |
|
|
Image Classification (Q)
|
100% |
12682
2.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29104
471.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
37566
609.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
26336
428.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
322627
376.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
566902
661.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
278752
326.6 IPS |
|
|
Object Detection (SP)
|
100% |
20743
1.65 KIPS |
|
|
Object Detection (HP)
|
100% |
27819
2.21 KIPS |
|
|
Object Detection (Q)
|
86% |
17284
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
62019
736.9 IPS |
|
|
Face Detection (HP)
|
100% |
80897
961.2 IPS |
|
|
Face Detection (Q)
|
97% |
51716
616.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
102405
789.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
165263
1.27 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75268
602.0 IPS |
|
|
Style Transfer (SP)
|
100% |
589353
757.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1162361
1.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
500705
645.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
64158
2.37 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
86117
3.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
46828
1.73 KIPS |
|
|
Text Classification (SP)
|
100% |
4007
5.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5025
6.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2261
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
6541
112.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6419
110.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2795
52.4 IPS |
