BIOSTAR Group Z690A VALKYRIE
Geekbench AI Score
1711
Single Precision Score
1770
Half Precision Score
1156
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | 1soft |
| Upload Date | March 01 2026 10:47 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | BIOSTAR Group Z690A VALKYRIE |
| Motherboard | BIOSTAR Group Z690A VALKYRIE |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
734
136.4 IPS |
|
|
Image Classification (HP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (Q)
|
100% |
625
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1031
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5275
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5801
6.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3541
4.15 IPS |
|
|
Object Detection (SP)
|
100% |
826
65.5 IPS |
|
|
Object Detection (HP)
|
98% |
713
56.7 IPS |
|
|
Object Detection (Q)
|
86% |
697
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
1819
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3439
26.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2310
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10832
13.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14631
18.8 IPS |
|
|
Style Transfer (Q)
|
98% |
8040
10.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1857
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2575
95.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
942
34.9 IPS |
|
|
Text Classification (SP)
|
100% |
814
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
481
641.5 IPS |
|
|
Text Classification (Q)
|
97% |
410
549.9 IPS |
|
|
Machine Translation (SP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
70% |
397
7.44 IPS |
