ASUS System Product Name
Geekbench AI Score
33395
Single Precision Score
57759
Half Precision Score
25285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kiyanbaux |
| Upload Date | June 01 2025 03:35 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13676
2.54 KIPS |
|
|
Image Classification (HP)
|
100% |
21647
4.03 KIPS |
|
|
Image Classification (Q)
|
100% |
12412
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24882
403.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
37243
603.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22311
362.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
174600
203.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
682395
796.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
157433
184.4 IPS |
|
|
Object Detection (SP)
|
100% |
17059
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
29341
2.33 KIPS |
|
|
Object Detection (Q)
|
86% |
14271
1.15 KIPS |
|
|
Face Detection (SP)
|
100% |
52103
619.1 IPS |
|
|
Face Detection (HP)
|
100% |
76375
907.5 IPS |
|
|
Face Detection (Q)
|
97% |
42580
507.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
85045
655.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
140736
1.08 KIPS |
|
|
Depth Estimation (Q)
|
78% |
62357
497.9 IPS |
|
|
Style Transfer (SP)
|
100% |
318838
409.9 IPS |
|
|
Style Transfer (HP)
|
100% |
994921
1.28 KIPS |
|
|
Style Transfer (Q)
|
98% |
263796
340.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46409
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75575
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35683
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
3819
5.10 KIPS |
|
|
Text Classification (HP)
|
100% |
4659
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2279
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6798
117.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6799
117.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3015
56.6 IPS |
