ASUS System Product Name
Geekbench AI Score
37527
Single Precision Score
63882
Half Precision Score
28214
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | December 23 2025 12:12 PM |
| Views | 5 |
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% |
15368
2.86 KIPS |
|
|
Image Classification (HP)
|
100% |
22689
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13537
2.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28544
462.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
41248
668.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25126
408.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
194058
226.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
761376
888.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
171117
200.4 IPS |
|
|
Object Detection (SP)
|
100% |
19643
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
30385
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
16329
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
56414
670.3 IPS |
|
|
Face Detection (HP)
|
100% |
80277
953.9 IPS |
|
|
Face Detection (Q)
|
97% |
46299
552.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
96444
743.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
166313
1.28 KIPS |
|
|
Depth Estimation (Q)
|
78% |
71629
572.0 IPS |
|
|
Style Transfer (SP)
|
100% |
357612
459.7 IPS |
|
|
Style Transfer (HP)
|
100% |
1133831
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
293939
379.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
52806
1.95 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85410
3.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40058
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
4178
5.58 KIPS |
|
|
Text Classification (HP)
|
100% |
5186
6.92 KIPS |
|
|
Text Classification (Q)
|
97% |
2629
3.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
7717
132.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7797
134.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3277
61.5 IPS |
