ASUS System Product Name
Geekbench AI Score
6628
Single Precision Score
6646
Half Precision Score
14655
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:17 AM |
| Views | 2 |
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% |
4073
757.5 IPS |
|
|
Image Classification (HP)
|
100% |
4046
752.5 IPS |
|
|
Image Classification (Q)
|
100% |
9174
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5424
87.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5400
87.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7674
124.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8043
9.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
8113
9.47 IPS |
|
|
Pose Estimation (Q)
|
96% |
30213
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
3720
295.1 IPS |
|
|
Object Detection (HP)
|
100% |
3789
300.5 IPS |
|
|
Object Detection (Q)
|
88% |
9970
799.2 IPS |
|
|
Face Detection (SP)
|
100% |
10445
124.1 IPS |
|
|
Face Detection (HP)
|
100% |
10579
125.7 IPS |
|
|
Face Detection (Q)
|
100% |
23253
276.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9888
76.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
10071
77.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
25734
200.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24527
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24334
31.3 IPS |
|
|
Style Transfer (Q)
|
98% |
85022
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5181
191.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5099
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15878
588.0 IPS |
|
|
Text Classification (SP)
|
100% |
3793
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5394
7.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4976
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4947
85.2 IPS |
