ASUSGee ASUS System Product Name
Geekbench AI Score
32027
Single Precision Score
55153
Half Precision Score
24355
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | svswe |
| Upload Date | December 10 2025 09:03 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z890-F GAMING WIFI |
| Power Plan | Balanserat |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12981
2.41 KIPS |
|
|
Image Classification (HP)
|
100% |
19901
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11320
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24582
398.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
35596
577.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21546
350.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
171356
199.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
655615
765.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
155227
181.8 IPS |
|
|
Object Detection (SP)
|
100% |
16200
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
26032
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
13860
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
48354
574.6 IPS |
|
|
Face Detection (HP)
|
100% |
68461
813.5 IPS |
|
|
Face Detection (Q)
|
97% |
39720
473.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
82018
631.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
148322
1.14 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62346
497.9 IPS |
|
|
Style Transfer (SP)
|
100% |
305773
393.1 IPS |
|
|
Style Transfer (HP)
|
100% |
975226
1.25 KIPS |
|
|
Style Transfer (Q)
|
98% |
256617
330.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44548
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72845
2.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34445
1.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3877
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
97% |
2235
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
6122
105.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6198
106.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2861
53.7 IPS |
