ASUS System Product Name
Geekbench AI Score
15655
Single Precision Score
15908
Half Precision Score
37387
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 05 2025 05:37 AM |
| Views | 8 |
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 | 1usmus Ryzen Power Plan |
| 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% |
7728
1.44 KIPS |
|
|
Image Classification (HP)
|
100% |
7956
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
19570
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10634
172.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10363
168.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
29427
477.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
33767
39.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
33277
38.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
133509
156.3 IPS |
|
|
Object Detection (SP)
|
100% |
9447
749.3 IPS |
|
|
Object Detection (HP)
|
100% |
9455
750.0 IPS |
|
|
Object Detection (Q)
|
88% |
21481
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
20350
241.8 IPS |
|
|
Face Detection (HP)
|
100% |
21491
255.4 IPS |
|
|
Face Detection (Q)
|
100% |
55501
659.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
26929
207.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28005
215.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
75282
585.9 IPS |
|
|
Style Transfer (SP)
|
100% |
86342
111.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86655
111.4 IPS |
|
|
Style Transfer (Q)
|
98% |
302775
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15116
558.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15402
568.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41542
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5120
6.83 KIPS |
|
|
Text Classification (HP)
|
100% |
5374
7.17 KIPS |
|
|
Text Classification (Q)
|
92% |
6061
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
9212
158.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9270
159.7 IPS |
|
|
Machine Translation (Q)
|
100% |
10143
174.7 IPS |
