ASUS System Product Name
Geekbench AI Score
37504
Single Precision Score
64048
Half Precision Score
28379
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Warblood |
| Upload Date | November 28 2025 02:57 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% |
15290
2.84 KIPS |
|
|
Image Classification (HP)
|
100% |
22718
4.22 KIPS |
|
|
Image Classification (Q)
|
100% |
13489
2.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28741
465.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
41407
671.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
25207
409.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
195507
228.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
768359
896.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
177808
208.3 IPS |
|
|
Object Detection (SP)
|
100% |
19354
1.54 KIPS |
|
|
Object Detection (HP)
|
100% |
30360
2.41 KIPS |
|
|
Object Detection (Q)
|
86% |
15908
1.28 KIPS |
|
|
Face Detection (SP)
|
100% |
56528
671.7 IPS |
|
|
Face Detection (HP)
|
100% |
81019
962.7 IPS |
|
|
Face Detection (Q)
|
97% |
46357
552.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
96400
742.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
167357
1.29 KIPS |
|
|
Depth Estimation (Q)
|
78% |
72230
576.8 IPS |
|
|
Style Transfer (SP)
|
100% |
358441
460.8 IPS |
|
|
Style Transfer (HP)
|
100% |
1133583
1.46 KIPS |
|
|
Style Transfer (Q)
|
98% |
296834
382.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53683
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
85919
3.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40823
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
4217
5.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5179
6.91 KIPS |
|
|
Text Classification (Q)
|
97% |
2657
3.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
7488
129.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7740
133.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3268
61.3 IPS |
