ASUS System Product Name
Geekbench AI Score
6324
Single Precision Score
6359
Half Precision Score
13629
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:10 AM |
| Views | 4 |
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 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B760-PLUS |
| 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 | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4104
763.3 IPS |
|
|
Image Classification (HP)
|
100% |
4036
750.6 IPS |
|
|
Image Classification (Q)
|
100% |
9238
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5425
87.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5460
88.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10032
162.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8002
9.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
7988
9.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
16851
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
3686
292.3 IPS |
|
|
Object Detection (HP)
|
100% |
3690
292.7 IPS |
|
|
Object Detection (Q)
|
88% |
9986
800.5 IPS |
|
|
Face Detection (SP)
|
100% |
6649
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
6886
81.8 IPS |
|
|
Face Detection (Q)
|
100% |
14709
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9873
76.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9920
76.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25543
198.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24167
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24615
31.6 IPS |
|
|
Style Transfer (Q)
|
98% |
85742
110.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5130
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5145
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
16031
593.7 IPS |
|
|
Text Classification (SP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3847
5.13 KIPS |
|
|
Text Classification (Q)
|
92% |
5456
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5015
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (Q)
|
100% |
5035
86.7 IPS |
