ASUS System Product Name
Geekbench AI Score
37233
Single Precision Score
63466
Half Precision Score
28030
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 01 2025 02:26 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING Z890-PLUS WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
15020
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
22357
4.16 KIPS |
|
|
Image Classification (Q)
|
100% |
13347
2.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28532
462.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
41131
666.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
25025
406.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
194286
226.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
759999
886.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
172990
202.6 IPS |
|
|
Object Detection (SP)
|
100% |
19199
1.52 KIPS |
|
|
Object Detection (HP)
|
100% |
30178
2.39 KIPS |
|
|
Object Detection (Q)
|
86% |
15804
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
55460
659.0 IPS |
|
|
Face Detection (HP)
|
100% |
79738
947.5 IPS |
|
|
Face Detection (Q)
|
97% |
46059
549.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
95032
732.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
165401
1.27 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71445
570.5 IPS |
|
|
Style Transfer (SP)
|
100% |
354777
456.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1125025
1.45 KIPS |
|
|
Style Transfer (Q)
|
98% |
288857
372.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52810
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85011
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40073
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5162
6.89 KIPS |
|
|
Text Classification (Q)
|
97% |
2610
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
7761
133.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7721
133.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3298
61.8 IPS |
