ASUS System Product Name
Geekbench AI Score
4821
Single Precision Score
1767
Half Precision Score
7013
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 04 2025 09:19 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900K |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3894
724.1 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.6 IPS |
|
|
Image Classification (Q)
|
99% |
6931
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1104
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6886
112.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8057
9.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
28323
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
3629
287.9 IPS |
|
|
Object Detection (HP)
|
100% |
851
67.5 IPS |
|
|
Object Detection (Q)
|
86% |
5960
479.0 IPS |
|
|
Face Detection (SP)
|
100% |
10021
119.1 IPS |
|
|
Face Detection (HP)
|
100% |
1855
22.0 IPS |
|
|
Face Detection (Q)
|
97% |
9682
115.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10510
81.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2456
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
16669
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
19296
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
11595
14.9 IPS |
|
|
Style Transfer (Q)
|
98% |
24167
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3368
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2188
80.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5703
211.2 IPS |
|
|
Text Classification (SP)
|
100% |
1825
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
910
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
540
723.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
100% |
960
16.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2974
59.8 IPS |
