ASUS System Product Name
Geekbench AI Score
5695
Single Precision Score
2290
Half Precision Score
7880
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Creapure |
| Upload Date | April 23 2025 03:00 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-12900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 APEX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-12900KF |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4511
838.9 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
99% |
8592
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2489
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3364
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8881
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
7112
8.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
29455
34.5 IPS |
|
|
Object Detection (SP)
|
100% |
4276
339.2 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
86% |
8131
653.5 IPS |
|
|
Face Detection (SP)
|
100% |
10787
128.2 IPS |
|
|
Face Detection (HP)
|
100% |
2476
29.4 IPS |
|
|
Face Detection (Q)
|
97% |
11100
132.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11809
91.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3082
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
20008
159.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20970
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17059
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
30098
38.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3319
122.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5792
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
2157
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
1075
1.44 KIPS |
|
|
Text Classification (Q)
|
97% |
737
987.0 IPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1089
18.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4674
93.9 IPS |
