ASUS System Product Name
Geekbench AI Score
7420
Single Precision Score
2684
Half Precision Score
12234
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | ongoliard |
| Upload Date | June 25 2025 01:58 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4753
883.9 IPS |
|
|
Image Classification (HP)
|
100% |
815
151.6 IPS |
|
|
Image Classification (Q)
|
99% |
12863
2.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2906
47.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1350
21.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5269
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
26259
30.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14216
16.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
72552
85.1 IPS |
|
|
Object Detection (SP)
|
100% |
4885
387.5 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
86% |
13081
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
9305
110.6 IPS |
|
|
Face Detection (HP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
15476
184.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
15452
119.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3863
29.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
28447
227.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43539
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35231
45.3 IPS |
|
|
Style Transfer (Q)
|
98% |
36803
47.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4649
171.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3353
123.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6287
232.8 IPS |
|
|
Text Classification (SP)
|
100% |
2234
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
980
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1761
2.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4397
75.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
65% |
6512
130.9 IPS |
