ASUS System Product Name
Geekbench AI Score
2562
Single Precision Score
3854
Half Precision Score
6024
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 05 2025 07:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| 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% |
1577
293.4 IPS |
|
|
Image Classification (HP)
|
100% |
2635
490.1 IPS |
|
|
Image Classification (Q)
|
99% |
4020
749.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2360
38.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3824
62.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4431
71.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4192
4.89 IPS |
|
|
Pose Estimation (HP)
|
99% |
3054
3.56 IPS |
|
|
Pose Estimation (Q)
|
97% |
12556
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1408
111.7 IPS |
|
|
Object Detection (HP)
|
98% |
2243
178.5 IPS |
|
|
Object Detection (Q)
|
90% |
4282
342.4 IPS |
|
|
Face Detection (SP)
|
100% |
4957
58.9 IPS |
|
|
Face Detection (HP)
|
100% |
7693
91.4 IPS |
|
|
Face Detection (Q)
|
100% |
10135
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4880
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
8192
63.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11263
87.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10906
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17004
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
28504
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3206
118.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6556
242.8 IPS |
|
|
Text Classification (SP)
|
71% |
1104
1.60 KIPS |
|
|
Text Classification (HP)
|
71% |
1355
1.96 KIPS |
|
|
Text Classification (Q)
|
92% |
1355
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
978
16.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2250
38.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2275
39.2 IPS |
