ASUS System Product Name
Geekbench AI Score
15818
Single Precision Score
15964
Half Precision Score
36851
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 03 2025 11:27 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | 1usmus Ryzen Power Plan |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7787
1.45 KIPS |
|
|
Image Classification (HP)
|
100% |
7619
1.42 KIPS |
|
|
Image Classification (Q)
|
100% |
18768
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10036
162.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11627
188.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28136
456.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
33569
39.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
33575
39.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
131708
154.2 IPS |
|
|
Object Detection (SP)
|
100% |
9278
735.9 IPS |
|
|
Object Detection (HP)
|
100% |
9234
732.4 IPS |
|
|
Object Detection (Q)
|
88% |
22542
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
22674
269.4 IPS |
|
|
Face Detection (HP)
|
100% |
20552
244.2 IPS |
|
|
Face Detection (Q)
|
100% |
54961
653.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
27498
211.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
28970
223.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
73964
575.7 IPS |
|
|
Style Transfer (SP)
|
100% |
86431
111.1 IPS |
|
|
Style Transfer (HP)
|
100% |
86697
111.5 IPS |
|
|
Style Transfer (Q)
|
98% |
302246
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15818
584.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15807
583.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41337
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5048
6.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5166
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6035
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
9368
161.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9288
160.0 IPS |
|
|
Machine Translation (Q)
|
100% |
9612
165.6 IPS |
