ASUS System Product Name
Geekbench AI Score
16003
Single Precision Score
15820
Half Precision Score
37111
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | April 15 2025 02:40 PM |
| Views | 11 |
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% |
7665
1.43 KIPS |
|
|
Image Classification (HP)
|
100% |
7154
1.33 KIPS |
|
|
Image Classification (Q)
|
100% |
19358
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10596
171.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10568
171.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
28267
458.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
34512
40.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
33940
39.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
134550
157.5 IPS |
|
|
Object Detection (SP)
|
100% |
9509
754.3 IPS |
|
|
Object Detection (HP)
|
100% |
9083
720.5 IPS |
|
|
Object Detection (Q)
|
88% |
22315
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
21151
251.3 IPS |
|
|
Face Detection (HP)
|
100% |
22863
271.7 IPS |
|
|
Face Detection (Q)
|
100% |
56172
667.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
28233
217.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
28729
221.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
72489
564.2 IPS |
|
|
Style Transfer (SP)
|
100% |
87581
112.6 IPS |
|
|
Style Transfer (HP)
|
100% |
87174
112.1 IPS |
|
|
Style Transfer (Q)
|
98% |
312100
402.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16140
596.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15920
587.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41536
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
5232
6.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5050
6.74 KIPS |
|
|
Text Classification (Q)
|
92% |
6095
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
9359
161.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9153
157.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9376
161.5 IPS |
