Jane (9950X3D) ASUS System Product Name
Geekbench AI Score
13411
Single Precision Score
13234
Half Precision Score
31645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BeanBagKing |
| Upload Date | April 15 2025 12:26 PM |
| 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. ProArt X870E-CREATOR WIFI |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7200
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
6329
1.18 KIPS |
|
|
Image Classification (Q)
|
100% |
15637
2.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8820
143.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
8662
140.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24422
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
27885
32.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
27806
32.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
110460
129.3 IPS |
|
|
Object Detection (SP)
|
100% |
7883
625.3 IPS |
|
|
Object Detection (HP)
|
100% |
7616
604.1 IPS |
|
|
Object Detection (Q)
|
88% |
18578
1.49 KIPS |
|
|
Face Detection (SP)
|
100% |
16996
201.9 IPS |
|
|
Face Detection (HP)
|
100% |
17613
209.3 IPS |
|
|
Face Detection (Q)
|
100% |
47671
566.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23296
179.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
24156
186.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
63382
493.3 IPS |
|
|
Style Transfer (SP)
|
100% |
71816
92.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73327
94.3 IPS |
|
|
Style Transfer (Q)
|
98% |
259168
334.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13549
500.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13420
495.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36430
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4423
5.90 KIPS |
|
|
Text Classification (HP)
|
100% |
4504
6.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5283
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
7913
136.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7531
129.7 IPS |
|
|
Machine Translation (Q)
|
100% |
8529
146.9 IPS |
