ASUS System Product Name
Geekbench AI Score
12739
Single Precision Score
12965
Half Precision Score
34090
Quantized Score
Geekbench AI 1.3.0 Corporate for Windows AVX2
Result Information
| User | CocaCola |
| Upload Date | August 06 2025 02:23 PM |
| Views | 6 |
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% |
7135
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
6913
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
18510
3.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9077
147.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9424
152.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
31942
517.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
19405
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20010
23.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
90099
105.5 IPS |
|
|
Object Detection (SP)
|
100% |
7838
621.7 IPS |
|
|
Object Detection (HP)
|
100% |
8360
663.2 IPS |
|
|
Object Detection (Q)
|
88% |
22025
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
17955
213.3 IPS |
|
|
Face Detection (HP)
|
100% |
18865
224.2 IPS |
|
|
Face Detection (Q)
|
100% |
54830
651.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21362
164.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
22462
173.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
69255
539.0 IPS |
|
|
Style Transfer (SP)
|
100% |
58479
75.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55527
71.4 IPS |
|
|
Style Transfer (Q)
|
98% |
211194
272.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12155
448.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12592
465.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39794
1.47 KIPS |
|
|
Text Classification (SP)
|
100% |
5149
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5116
6.83 KIPS |
|
|
Text Classification (Q)
|
92% |
6328
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
8142
140.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8129
140.0 IPS |
|
|
Machine Translation (Q)
|
100% |
8947
154.1 IPS |
