ASRock X670E Steel Legend
Geekbench AI Score
20083
Single Precision Score
22142
Half Precision Score
15385
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 28 2024 09:33 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 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 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8736
1.62 KIPS |
|
|
Image Classification (HP)
|
100% |
8130
1.51 KIPS |
|
|
Image Classification (Q)
|
100% |
7315
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13991
226.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10733
174.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
11558
187.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
108914
127.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
174798
204.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
92567
108.5 IPS |
|
|
Object Detection (SP)
|
100% |
8942
709.3 IPS |
|
|
Object Detection (HP)
|
100% |
7738
613.8 IPS |
|
|
Object Detection (Q)
|
87% |
7629
612.7 IPS |
|
|
Face Detection (SP)
|
100% |
27486
326.6 IPS |
|
|
Face Detection (HP)
|
100% |
30643
364.1 IPS |
|
|
Face Detection (Q)
|
97% |
21728
259.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
47479
365.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
55661
428.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
34682
278.5 IPS |
|
|
Style Transfer (SP)
|
100% |
197279
253.6 IPS |
|
|
Style Transfer (HP)
|
100% |
251832
323.7 IPS |
|
|
Style Transfer (Q)
|
98% |
157585
203.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32623
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40030
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23535
871.5 IPS |
|
|
Text Classification (SP)
|
100% |
2377
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (Q)
|
97% |
1724
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2584
48.5 IPS |
