ASUS System Product Name
Geekbench AI Score
5910
Single Precision Score
5930
Half Precision Score
14698
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:12 AM |
| Views | 5 |
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% |
4100
762.5 IPS |
|
|
Image Classification (HP)
|
100% |
4011
745.9 IPS |
|
|
Image Classification (Q)
|
100% |
9111
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5455
88.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5413
87.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10099
163.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8033
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
8030
9.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
29663
34.7 IPS |
|
|
Object Detection (SP)
|
100% |
3780
299.9 IPS |
|
|
Object Detection (HP)
|
100% |
3777
299.6 IPS |
|
|
Object Detection (Q)
|
88% |
9862
790.5 IPS |
|
|
Face Detection (SP)
|
100% |
9192
109.2 IPS |
|
|
Face Detection (HP)
|
100% |
9206
109.4 IPS |
|
|
Face Detection (Q)
|
100% |
18937
225.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6155
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6277
48.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
25197
196.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13915
17.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14133
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
85892
110.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15971
591.5 IPS |
|
|
Text Classification (SP)
|
100% |
3771
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3823
5.10 KIPS |
|
|
Text Classification (Q)
|
92% |
5366
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
5060
87.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5136
88.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4978
85.8 IPS |
