ASUS System Product Name
Geekbench AI Score
14939
Single Precision Score
15205
Half Precision Score
36347
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 05 2025 08:06 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 | 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% |
6892
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
7352
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
18281
3.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9615
155.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9956
161.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27465
445.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
33247
38.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
33735
39.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
131239
153.6 IPS |
|
|
Object Detection (SP)
|
100% |
8595
681.8 IPS |
|
|
Object Detection (HP)
|
100% |
9529
755.8 IPS |
|
|
Object Detection (Q)
|
88% |
21898
1.76 KIPS |
|
|
Face Detection (SP)
|
100% |
19373
230.2 IPS |
|
|
Face Detection (HP)
|
100% |
19039
226.2 IPS |
|
|
Face Detection (Q)
|
100% |
57274
680.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27317
210.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25791
198.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
72033
560.6 IPS |
|
|
Style Transfer (SP)
|
100% |
84554
108.7 IPS |
|
|
Style Transfer (HP)
|
100% |
85004
109.3 IPS |
|
|
Style Transfer (Q)
|
98% |
302129
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14868
549.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15173
560.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40388
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4920
6.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4957
6.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5801
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
8937
153.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8943
154.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9551
164.5 IPS |
