Yodenho 2022 ASUS System Product Name
Geekbench AI Score
23103
Single Precision Score
35657
Half Precision Score
13736
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 07:57 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-A GAMING WIFI D4 |
| Power Plan | Hchstleistung |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8539
1.59 KIPS |
|
|
Image Classification (HP)
|
99% |
12488
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
5797
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16402
265.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23944
388.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11630
189.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
134200
156.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
369332
430.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
103569
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
11626
922.2 IPS |
|
|
Object Detection (HP)
|
100% |
16867
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
7728
621.7 IPS |
|
|
Face Detection (SP)
|
100% |
31668
376.3 IPS |
|
|
Face Detection (HP)
|
100% |
45440
539.9 IPS |
|
|
Face Detection (Q)
|
97% |
20877
248.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
58084
447.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101069
778.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
34261
274.5 IPS |
|
|
Style Transfer (SP)
|
100% |
239633
308.1 IPS |
|
|
Style Transfer (HP)
|
100% |
554493
712.8 IPS |
|
|
Style Transfer (Q)
|
98% |
170846
220.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33594
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
42468
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18590
688.3 IPS |
|
|
Text Classification (SP)
|
100% |
2866
3.83 KIPS |
|
|
Text Classification (HP)
|
99% |
3632
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
1282
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
4673
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4542
78.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1522
28.6 IPS |
