ASUS System Product Name
Geekbench AI Score
15273
Single Precision Score
15123
Half Precision Score
32864
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | April 13 2025 11:38 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 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% |
7453
1.39 KIPS |
|
|
Image Classification (HP)
|
100% |
7320
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
16136
3.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8457
137.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8857
143.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
19041
308.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
34974
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34357
40.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
133205
155.9 IPS |
|
|
Object Detection (SP)
|
100% |
8867
703.4 IPS |
|
|
Object Detection (HP)
|
100% |
9276
735.8 IPS |
|
|
Object Detection (Q)
|
88% |
18485
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
21535
255.9 IPS |
|
|
Face Detection (HP)
|
100% |
20764
246.7 IPS |
|
|
Face Detection (Q)
|
100% |
50531
600.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28912
222.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
28312
218.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
69075
537.5 IPS |
|
|
Style Transfer (SP)
|
100% |
86543
111.3 IPS |
|
|
Style Transfer (HP)
|
100% |
85786
110.3 IPS |
|
|
Style Transfer (Q)
|
98% |
302129
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15475
571.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15351
566.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40881
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
5430
7.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5171
6.90 KIPS |
|
|
Text Classification (Q)
|
92% |
6208
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
7805
134.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7566
130.3 IPS |
|
|
Machine Translation (Q)
|
100% |
7260
125.1 IPS |
