ASUS System Product Name
Geekbench AI Score
20776
Single Precision Score
34456
Half Precision Score
16398
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | aliBencher |
| Upload Date | February 06 2026 08:46 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt Z890-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8967
1.67 KIPS |
|
|
Image Classification (HP)
|
99% |
13871
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
8044
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14557
236.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20369
330.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13833
224.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
111516
130.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
346751
404.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
94778
111.0 IPS |
|
|
Object Detection (SP)
|
100% |
10403
825.2 IPS |
|
|
Object Detection (HP)
|
100% |
16371
1.30 KIPS |
|
|
Object Detection (Q)
|
85% |
8760
705.2 IPS |
|
|
Face Detection (SP)
|
100% |
25265
300.2 IPS |
|
|
Face Detection (HP)
|
100% |
39921
474.3 IPS |
|
|
Face Detection (Q)
|
97% |
22322
266.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
51855
399.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
93316
718.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
41342
331.0 IPS |
|
|
Style Transfer (SP)
|
100% |
190671
245.1 IPS |
|
|
Style Transfer (HP)
|
100% |
456259
586.5 IPS |
|
|
Style Transfer (Q)
|
98% |
170467
219.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32296
1.19 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
50379
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24865
920.7 IPS |
|
|
Text Classification (SP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1967
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3977
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4547
78.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1978
37.1 IPS |
