ASRock X670E Steel Legend
Geekbench AI Score
19313
Single Precision Score
30344
Half Precision Score
12174
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | ldilov |
| Upload Date | August 15 2024 07:37 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 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 |
| 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% |
7912
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
11126
2.07 KIPS |
|
|
Image Classification (Q)
|
100% |
5249
976.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
13417
217.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18325
297.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
10312
167.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
108655
126.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
323027
376.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
87508
102.5 IPS |
|
|
Object Detection (SP)
|
100% |
10000
793.2 IPS |
|
|
Object Detection (HP)
|
100% |
14547
1.15 KIPS |
|
|
Object Detection (Q)
|
89% |
6926
554.6 IPS |
|
|
Face Detection (SP)
|
100% |
23174
275.4 IPS |
|
|
Face Detection (HP)
|
100% |
34255
407.0 IPS |
|
|
Face Detection (Q)
|
97% |
16096
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
49773
383.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
78947
608.2 IPS |
|
|
Depth Estimation (Q)
|
75% |
30037
242.9 IPS |
|
|
Style Transfer (SP)
|
100% |
206366
265.3 IPS |
|
|
Style Transfer (HP)
|
100% |
457717
588.4 IPS |
|
|
Style Transfer (Q)
|
98% |
157545
203.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32780
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42864
1.58 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17921
663.6 IPS |
|
|
Text Classification (SP)
|
100% |
2152
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
3485
4.65 KIPS |
|
|
Text Classification (Q)
|
97% |
1235
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3729
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3736
64.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1293
28.8 IPS |
