ASUS System Product Name
Geekbench AI Score
6987
Single Precision Score
6745
Half Precision Score
15781
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | V1king |
| Upload Date | October 27 2025 11:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i9-12900KS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KS |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4212
783.4 IPS |
|
|
Image Classification (HP)
|
100% |
4434
824.7 IPS |
|
|
Image Classification (Q)
|
100% |
9608
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5614
91.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5841
94.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10707
173.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8511
9.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
4944
5.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
31388
36.8 IPS |
|
|
Object Detection (SP)
|
100% |
4233
335.7 IPS |
|
|
Object Detection (HP)
|
100% |
4326
343.1 IPS |
|
|
Object Detection (Q)
|
88% |
10348
829.5 IPS |
|
|
Face Detection (SP)
|
100% |
9908
117.7 IPS |
|
|
Face Detection (HP)
|
100% |
10923
129.8 IPS |
|
|
Face Detection (Q)
|
100% |
24332
289.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11060
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
11040
85.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
26971
209.8 IPS |
|
|
Style Transfer (SP)
|
100% |
25464
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
25314
32.5 IPS |
|
|
Style Transfer (Q)
|
98% |
85823
110.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5289
195.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5318
196.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16315
604.2 IPS |
|
|
Text Classification (SP)
|
100% |
3948
5.27 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
92% |
5634
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5588
96.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5533
95.3 IPS |
|
|
Machine Translation (Q)
|
100% |
5541
95.4 IPS |
