ASUS System Product Name
Geekbench AI Score
27967
Single Precision Score
48899
Half Precision Score
21747
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B860-I GAMING WIFI |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10689
1.99 KIPS |
|
|
Image Classification (HP)
|
100% |
18839
3.50 KIPS |
|
|
Image Classification (Q)
|
100% |
9630
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21024
340.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
31581
512.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
19076
310.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
165194
192.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
461322
538.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
142311
166.7 IPS |
|
|
Object Detection (SP)
|
100% |
14446
1.15 KIPS |
|
|
Object Detection (HP)
|
100% |
23774
1.89 KIPS |
|
|
Object Detection (Q)
|
83% |
12060
974.4 IPS |
|
|
Face Detection (SP)
|
100% |
40545
481.8 IPS |
|
|
Face Detection (HP)
|
100% |
59698
709.3 IPS |
|
|
Face Detection (Q)
|
97% |
34315
409.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
67085
516.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
124010
955.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
53229
424.9 IPS |
|
|
Style Transfer (SP)
|
100% |
230626
296.5 IPS |
|
|
Style Transfer (HP)
|
100% |
767492
986.6 IPS |
|
|
Style Transfer (Q)
|
98% |
195214
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39515
1.46 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73332
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
32075
1.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3706
4.95 KIPS |
|
|
Text Classification (HP)
|
100% |
4684
6.25 KIPS |
|
|
Text Classification (Q)
|
97% |
2274
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5942
102.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6138
105.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2886
54.1 IPS |
