ASUS System Product Name
Geekbench AI Score
13143
Single Precision Score
13325
Half Precision Score
33019
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | CocaCola |
| Upload Date | August 03 2025 08:31 AM |
| Views | 8 |
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 X870E APEX |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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% |
6104
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
6274
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
18213
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9032
146.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8854
143.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25706
416.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
27921
32.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
28292
33.0 IPS |
|
|
Pose Estimation (Q)
|
98% |
117451
137.5 IPS |
|
|
Object Detection (SP)
|
100% |
7348
582.9 IPS |
|
|
Object Detection (HP)
|
100% |
8112
643.5 IPS |
|
|
Object Detection (Q)
|
88% |
19035
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
16422
195.1 IPS |
|
|
Face Detection (HP)
|
100% |
16699
198.4 IPS |
|
|
Face Detection (Q)
|
100% |
49438
587.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
22535
173.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
24319
187.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
64368
501.0 IPS |
|
|
Style Transfer (SP)
|
100% |
73883
95.0 IPS |
|
|
Style Transfer (HP)
|
100% |
73249
94.2 IPS |
|
|
Style Transfer (Q)
|
98% |
268559
346.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14370
530.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13711
506.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36261
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4529
6.04 KIPS |
|
|
Text Classification (HP)
|
100% |
4372
5.84 KIPS |
|
|
Text Classification (Q)
|
92% |
5756
7.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
7645
131.7 IPS |
|
|
Machine Translation (HP)
|
100% |
7764
133.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8251
142.1 IPS |
