ASUS System Product Name
Geekbench AI Score
24849
Single Precision Score
46466
Half Precision Score
18912
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 04:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME Z890-P WIFI |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10247
1.91 KIPS |
|
|
Image Classification (HP)
|
100% |
18434
3.43 KIPS |
|
|
Image Classification (Q)
|
100% |
9334
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18942
307.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
29069
471.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16927
275.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
128510
149.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
421177
491.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
118313
138.6 IPS |
|
|
Object Detection (SP)
|
100% |
12660
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
22476
1.78 KIPS |
|
|
Object Detection (Q)
|
83% |
10850
876.6 IPS |
|
|
Face Detection (SP)
|
100% |
33304
395.7 IPS |
|
|
Face Detection (HP)
|
100% |
54393
646.3 IPS |
|
|
Face Detection (Q)
|
97% |
29031
346.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
56069
432.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
124879
962.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
45880
366.2 IPS |
|
|
Style Transfer (SP)
|
100% |
185081
237.9 IPS |
|
|
Style Transfer (HP)
|
100% |
645731
830.1 IPS |
|
|
Style Transfer (Q)
|
98% |
156207
201.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35870
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68059
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27332
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3917
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
97% |
2390
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5854
100.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6573
113.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2124
39.8 IPS |
