ASUS System Product Name
Geekbench AI Score
16237
Single Precision Score
16127
Half Precision Score
38735
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 10:08 AM |
| Views | 2 |
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 X670E GENE |
| Power Plan | Balanced |
| 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% |
8148
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
7912
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
20030
3.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11870
192.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11760
190.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
34362
557.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33547
39.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
33881
39.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
134632
157.6 IPS |
|
|
Object Detection (SP)
|
100% |
8995
713.5 IPS |
|
|
Object Detection (HP)
|
100% |
9527
755.7 IPS |
|
|
Object Detection (Q)
|
88% |
21644
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
23649
281.0 IPS |
|
|
Face Detection (HP)
|
100% |
23415
278.2 IPS |
|
|
Face Detection (Q)
|
100% |
62207
739.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
28421
219.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
27374
210.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
77897
606.3 IPS |
|
|
Style Transfer (SP)
|
100% |
86297
110.9 IPS |
|
|
Style Transfer (HP)
|
100% |
87066
111.9 IPS |
|
|
Style Transfer (Q)
|
98% |
310528
400.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15886
586.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15637
577.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41208
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5264
7.03 KIPS |
|
|
Text Classification (HP)
|
100% |
4999
6.67 KIPS |
|
|
Text Classification (Q)
|
92% |
6318
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
9002
155.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9088
156.5 IPS |
|
|
Machine Translation (Q)
|
100% |
9680
166.7 IPS |
