Jane (9950X3D) ASUS System Product Name
Geekbench AI Score
39488
Single Precision Score
54833
Half Precision Score
29620
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | BeanBagKing |
| Upload Date | April 15 2025 12:28 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
13888
2.58 KIPS |
|
|
Image Classification (HP)
|
99% |
18432
3.44 KIPS |
|
|
Image Classification (Q)
|
100% |
11846
2.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
27379
443.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
35594
577.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
24913
405.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
313158
365.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
538366
628.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
272700
319.5 IPS |
|
|
Object Detection (SP)
|
100% |
19717
1.56 KIPS |
|
|
Object Detection (HP)
|
100% |
25572
2.03 KIPS |
|
|
Object Detection (Q)
|
86% |
16509
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
58490
695.0 IPS |
|
|
Face Detection (HP)
|
100% |
75817
900.9 IPS |
|
|
Face Detection (Q)
|
97% |
48549
578.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
96908
746.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
155817
1.20 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70819
566.4 IPS |
|
|
Style Transfer (SP)
|
100% |
567015
728.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1101372
1.42 KIPS |
|
|
Style Transfer (Q)
|
98% |
479846
618.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
59150
2.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
80590
2.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43922
1.63 KIPS |
|
|
Text Classification (SP)
|
100% |
3401
4.54 KIPS |
|
|
Text Classification (HP)
|
99% |
4276
5.71 KIPS |
|
|
Text Classification (Q)
|
97% |
2043
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
6073
104.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6068
104.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2643
49.6 IPS |
