ASUS System Product Name
Geekbench AI Score
24888
Single Precision Score
46426
Half Precision Score
18904
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 28 2026 04:47 AM |
| Views | 3 |
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% |
10212
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
18335
3.41 KIPS |
|
|
Image Classification (Q)
|
100% |
9438
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18677
302.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
29040
470.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17019
276.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
127788
149.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
421287
491.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
118625
139.0 IPS |
|
|
Object Detection (SP)
|
100% |
12710
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
22404
1.78 KIPS |
|
|
Object Detection (Q)
|
83% |
10866
877.9 IPS |
|
|
Face Detection (SP)
|
100% |
33391
396.8 IPS |
|
|
Face Detection (HP)
|
100% |
54235
644.4 IPS |
|
|
Face Detection (Q)
|
97% |
28905
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
58269
448.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
124411
958.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
47143
376.3 IPS |
|
|
Style Transfer (SP)
|
100% |
183950
236.5 IPS |
|
|
Style Transfer (HP)
|
100% |
646283
830.8 IPS |
|
|
Style Transfer (Q)
|
98% |
157809
203.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35851
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68119
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26787
991.9 IPS |
|
|
Text Classification (SP)
|
100% |
3906
5.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4706
6.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
5874
101.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6622
114.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2094
39.3 IPS |
