ASRock X670E Steel Legend
Geekbench AI Score
38106
Single Precision Score
65159
Half Precision Score
28705
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | October 18 2025 06:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| 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 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15178
2.82 KIPS |
|
|
Image Classification (HP)
|
100% |
22438
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
13481
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31075
503.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
47144
764.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27517
447.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
199229
232.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
779216
909.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
179717
210.5 IPS |
|
|
Object Detection (SP)
|
100% |
19554
1.55 KIPS |
|
|
Object Detection (HP)
|
100% |
31227
2.48 KIPS |
|
|
Object Detection (Q)
|
86% |
16049
1.29 KIPS |
|
|
Face Detection (SP)
|
100% |
59159
702.9 IPS |
|
|
Face Detection (HP)
|
100% |
84975
1.01 KIPS |
|
|
Face Detection (Q)
|
97% |
47582
567.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
96203
741.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
166636
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71481
570.8 IPS |
|
|
Style Transfer (SP)
|
100% |
365487
469.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1141803
1.47 KIPS |
|
|
Style Transfer (Q)
|
98% |
301648
389.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52632
1.94 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84783
3.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40314
1.49 KIPS |
|
|
Text Classification (SP)
|
100% |
3902
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4760
6.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2534
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
8226
141.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8215
141.5 IPS |
|
|
Machine Translation (Q)
|
70% |
3388
63.6 IPS |
