ASUS System Product Name
Geekbench AI Score
32053
Single Precision Score
52895
Half Precision Score
25048
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 05 2025 12:49 PM |
| 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. ROG MAXIMUS Z890 HERO |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13157
2.45 KIPS |
|
|
Image Classification (HP)
|
100% |
19878
3.70 KIPS |
|
|
Image Classification (Q)
|
100% |
11341
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25025
405.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
35567
576.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
22335
363.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
179854
209.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
660084
770.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
166747
195.3 IPS |
|
|
Object Detection (SP)
|
100% |
16970
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
23883
1.89 KIPS |
|
|
Object Detection (Q)
|
86% |
13363
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
48837
580.3 IPS |
|
|
Face Detection (HP)
|
100% |
66185
786.4 IPS |
|
|
Face Detection (Q)
|
97% |
40145
478.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
88387
681.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
149127
1.15 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65400
522.2 IPS |
|
|
Style Transfer (SP)
|
100% |
348423
447.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1043445
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
280486
361.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49300
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77957
2.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37713
1.40 KIPS |
|
|
Text Classification (SP)
|
100% |
3788
5.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4439
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2140
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
4056
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4317
74.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2899
54.4 IPS |
