ASUS System Product Name
Geekbench AI Score
2241
Single Precision Score
2287
Half Precision Score
1507
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | ATOM |
| Upload Date | December 09 2025 08:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z690 HERO |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
980
182.3 IPS |
|
|
Image Classification (HP)
|
100% |
997
185.5 IPS |
|
|
Image Classification (Q)
|
100% |
823
153.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1342
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6873
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
7453
8.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
4581
5.37 IPS |
|
|
Object Detection (SP)
|
100% |
1076
85.3 IPS |
|
|
Object Detection (HP)
|
98% |
921
73.3 IPS |
|
|
Object Detection (Q)
|
86% |
903
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
97% |
1624
19.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4018
31.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
4433
34.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
2977
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13968
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
18787
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
10395
13.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2401
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3310
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1217
45.1 IPS |
|
|
Text Classification (SP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (Q)
|
97% |
557
746.5 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
70% |
513
9.62 IPS |
