BIOSTAR Group Z690A VALKYRIE
Geekbench AI Score
25107
Single Precision Score
39106
Half Precision Score
14656
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | 1soft |
| Upload Date | March 01 2026 10:49 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 Ti |
| 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% |
8766
1.63 KIPS |
|
|
Image Classification (HP)
|
99% |
14956
2.79 KIPS |
|
|
Image Classification (Q)
|
100% |
6036
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18270
296.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26300
426.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12612
205.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
168985
197.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
358518
418.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
128161
150.2 IPS |
|
|
Object Detection (SP)
|
100% |
12218
969.1 IPS |
|
|
Object Detection (HP)
|
100% |
16920
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
8110
652.3 IPS |
|
|
Face Detection (SP)
|
100% |
34321
407.8 IPS |
|
|
Face Detection (HP)
|
100% |
49860
592.4 IPS |
|
|
Face Detection (Q)
|
97% |
22168
264.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
61043
470.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
108531
836.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
34669
277.6 IPS |
|
|
Style Transfer (SP)
|
100% |
249263
320.4 IPS |
|
|
Style Transfer (HP)
|
100% |
626817
805.8 IPS |
|
|
Style Transfer (Q)
|
98% |
188523
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37913
1.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54645
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21106
781.5 IPS |
|
|
Text Classification (SP)
|
100% |
3056
4.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3851
5.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1220
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4912
84.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1549
29.0 IPS |
