ASRock X670E Steel Legend
Geekbench AI Score
30569
Single Precision Score
33494
Half Precision Score
22850
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | purity |
| Upload Date | December 29 2024 05:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6900 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock X670E Steel Legend |
| Motherboard | ASRock X670E Steel Legend |
| 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% |
13163
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
12784
2.38 KIPS |
|
|
Image Classification (Q)
|
99% |
10422
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19473
315.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15967
258.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16202
263.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
201749
235.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
299176
349.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
165830
194.3 IPS |
|
|
Object Detection (SP)
|
100% |
14021
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
14257
1.13 KIPS |
|
|
Object Detection (Q)
|
87% |
11668
937.1 IPS |
|
|
Face Detection (SP)
|
100% |
37826
449.5 IPS |
|
|
Face Detection (HP)
|
100% |
42855
509.2 IPS |
|
|
Face Detection (Q)
|
97% |
30510
363.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
70688
544.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
78615
605.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
53434
429.1 IPS |
|
|
Style Transfer (SP)
|
100% |
353721
454.7 IPS |
|
|
Style Transfer (HP)
|
100% |
478680
615.4 IPS |
|
|
Style Transfer (Q)
|
98% |
271937
350.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42931
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49835
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30874
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
4476
5.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4590
6.13 KIPS |
|
|
Text Classification (Q)
|
97% |
2861
3.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5408
93.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5534
95.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3033
56.9 IPS |
