Yodenho 2022 ASUS System Product Name
Geekbench AI Score
6503
Single Precision Score
6213
Half Precision Score
14833
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 07:55 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900K |
| 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% |
3444
640.6 IPS |
|
|
Image Classification (HP)
|
100% |
3912
727.6 IPS |
|
|
Image Classification (Q)
|
100% |
9008
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4781
77.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3022
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9424
152.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8037
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
7982
9.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
30431
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
3999
317.2 IPS |
|
|
Object Detection (HP)
|
100% |
4066
322.5 IPS |
|
|
Object Detection (Q)
|
88% |
9807
786.1 IPS |
|
|
Face Detection (SP)
|
100% |
9598
114.0 IPS |
|
|
Face Detection (HP)
|
100% |
9244
109.8 IPS |
|
|
Face Detection (Q)
|
100% |
22677
269.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10224
78.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
10299
79.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25839
201.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24818
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
24197
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
80218
103.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5165
190.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4884
180.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15527
575.0 IPS |
|
|
Text Classification (SP)
|
100% |
3803
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3840
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5409
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
5348
92.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5176
89.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5157
88.8 IPS |
