ASUS System Product Name
Geekbench AI Score
7372
Single Precision Score
2759
Half Precision Score
12529
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | May 02 2025 05:38 AM |
| Views | 8 |
| Notes | 105 W |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9700X 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | Performances leves |
| 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% |
6429
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
998
185.5 IPS |
|
|
Image Classification (Q)
|
99% |
14844
2.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2832
45.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
5245
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11277
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
9307
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
47635
55.9 IPS |
|
|
Object Detection (SP)
|
100% |
6537
518.6 IPS |
|
|
Object Detection (HP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (Q)
|
86% |
14143
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
10801
128.3 IPS |
|
|
Face Detection (HP)
|
100% |
2677
31.8 IPS |
|
|
Face Detection (Q)
|
97% |
14710
175.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15052
116.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
27815
222.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27705
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23967
30.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39022
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4995
184.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3881
143.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6561
243.0 IPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1351
1.80 KIPS |
|
|
Text Classification (Q)
|
97% |
2614
3.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4696
80.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
6638
133.4 IPS |
