ASUS System Product Name
Geekbench AI Score
1772
Single Precision Score
1806
Half Precision Score
1204
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 03:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z790-PRO WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.8 IPS |
|
|
Image Classification (Q)
|
100% |
661
122.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1195
19.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
818
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5539
6.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (Q)
|
96% |
3711
4.35 IPS |
|
|
Object Detection (SP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (HP)
|
98% |
736
58.6 IPS |
|
|
Object Detection (Q)
|
86% |
716
57.6 IPS |
|
|
Face Detection (SP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1864
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1286
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3190
24.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3508
27.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
2367
19.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11228
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15046
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
8429
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
987
36.5 IPS |
|
|
Text Classification (SP)
|
100% |
905
1.21 KIPS |
|
|
Text Classification (HP)
|
100% |
484
645.6 IPS |
|
|
Text Classification (Q)
|
97% |
444
594.4 IPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
725
12.5 IPS |
|
|
Machine Translation (Q)
|
70% |
398
7.47 IPS |
