ASRock X670E Steel Legend
Geekbench AI Score
29772
Single Precision Score
44539
Half Precision Score
22675
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Retro77 |
| Upload Date | March 29 2025 12:45 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| 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 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11092
2.06 KIPS |
|
|
Image Classification (HP)
|
99% |
16757
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
9843
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22788
369.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
30697
497.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20497
333.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
159886
186.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
361257
421.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
136549
160.0 IPS |
|
|
Object Detection (SP)
|
100% |
14900
1.18 KIPS |
|
|
Object Detection (HP)
|
100% |
23421
1.86 KIPS |
|
|
Object Detection (Q)
|
85% |
12739
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
40813
485.0 IPS |
|
|
Face Detection (HP)
|
100% |
58692
697.4 IPS |
|
|
Face Detection (Q)
|
97% |
34064
406.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
70228
541.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
117127
902.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
55162
440.5 IPS |
|
|
Style Transfer (SP)
|
100% |
279220
358.9 IPS |
|
|
Style Transfer (HP)
|
100% |
617674
794.0 IPS |
|
|
Style Transfer (Q)
|
98% |
248785
320.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49646
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
60187
2.22 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35311
1.31 KIPS |
|
|
Text Classification (SP)
|
100% |
3620
4.83 KIPS |
|
|
Text Classification (HP)
|
99% |
4281
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2311
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6319
108.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6452
111.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2684
50.3 IPS |
