ASUS System Product Name
Geekbench AI Score
6277
Single Precision Score
6223
Half Precision Score
13952
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:26 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% |
4204
781.8 IPS |
|
|
Image Classification (HP)
|
100% |
4029
749.3 IPS |
|
|
Image Classification (Q)
|
100% |
9120
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5425
87.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5472
88.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9907
160.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8060
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
8064
9.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
30037
35.2 IPS |
|
|
Object Detection (SP)
|
100% |
3843
304.9 IPS |
|
|
Object Detection (HP)
|
100% |
3801
301.5 IPS |
|
|
Object Detection (Q)
|
88% |
9856
790.0 IPS |
|
|
Face Detection (SP)
|
100% |
10411
123.7 IPS |
|
|
Face Detection (HP)
|
100% |
9786
116.3 IPS |
|
|
Face Detection (Q)
|
100% |
21835
259.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9454
72.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9453
72.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
23698
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14254
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14161
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
46743
60.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5037
186.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15867
587.6 IPS |
|
|
Text Classification (SP)
|
100% |
3776
5.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3808
5.08 KIPS |
|
|
Text Classification (Q)
|
92% |
5395
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4965
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5135
88.5 IPS |
|
|
Machine Translation (Q)
|
100% |
5048
87.0 IPS |
