ASUS System Product Name
Geekbench AI Score
16747
Single Precision Score
17050
Half Precision Score
40174
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 07:01 PM |
| Views | 4 |
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 X870E APEX |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8526
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8233
1.53 KIPS |
|
|
Image Classification (Q)
|
100% |
21302
3.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10909
176.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
13109
212.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
35416
574.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
35441
41.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
35391
41.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
137819
161.3 IPS |
|
|
Object Detection (SP)
|
100% |
10336
819.8 IPS |
|
|
Object Detection (HP)
|
100% |
9789
776.5 IPS |
|
|
Object Detection (Q)
|
88% |
22324
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
25060
297.8 IPS |
|
|
Face Detection (HP)
|
100% |
25457
302.5 IPS |
|
|
Face Detection (Q)
|
100% |
65092
773.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
30004
231.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29539
227.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
80069
623.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88120
113.3 IPS |
|
|
Style Transfer (HP)
|
100% |
87971
113.1 IPS |
|
|
Style Transfer (Q)
|
98% |
318699
411.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16303
602.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16493
609.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
43541
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
5005
6.68 KIPS |
|
|
Text Classification (HP)
|
100% |
5336
7.12 KIPS |
|
|
Text Classification (Q)
|
92% |
6252
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
9426
162.4 IPS |
|
|
Machine Translation (HP)
|
100% |
9541
164.3 IPS |
|
|
Machine Translation (Q)
|
100% |
10436
179.8 IPS |
