ASUS System Product Name
Geekbench AI Score
16544
Single Precision Score
16714
Half Precision Score
39587
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 06:46 PM |
| Views | 4 |
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 |
| Power Plan | Balanced |
| 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% |
7617
1.42 KIPS |
|
|
Image Classification (HP)
|
100% |
8341
1.55 KIPS |
|
|
Image Classification (Q)
|
100% |
20042
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12232
198.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11339
183.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
36055
584.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35526
41.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
35765
41.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
139576
163.4 IPS |
|
|
Object Detection (SP)
|
100% |
9704
769.7 IPS |
|
|
Object Detection (HP)
|
100% |
9381
744.1 IPS |
|
|
Object Detection (Q)
|
88% |
21946
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
23162
275.2 IPS |
|
|
Face Detection (HP)
|
100% |
23718
281.8 IPS |
|
|
Face Detection (Q)
|
100% |
65346
776.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29804
229.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
30519
235.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
80429
626.0 IPS |
|
|
Style Transfer (SP)
|
100% |
88341
113.6 IPS |
|
|
Style Transfer (HP)
|
100% |
89071
114.5 IPS |
|
|
Style Transfer (Q)
|
98% |
322413
415.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16760
618.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16906
624.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42538
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
5145
6.87 KIPS |
|
|
Text Classification (HP)
|
100% |
5216
6.96 KIPS |
|
|
Text Classification (Q)
|
92% |
5922
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
9095
156.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9436
162.5 IPS |
|
|
Machine Translation (Q)
|
100% |
10005
172.3 IPS |
