ASUS System Product Name
Geekbench AI Score
16595
Single Precision Score
16972
Half Precision Score
39658
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | May 21 2025 07:03 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% |
8076
1.50 KIPS |
|
|
Image Classification (HP)
|
100% |
7898
1.47 KIPS |
|
|
Image Classification (Q)
|
100% |
19938
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11887
192.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
12131
196.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
35751
579.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35122
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
35204
41.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
139802
163.7 IPS |
|
|
Object Detection (SP)
|
100% |
9500
753.5 IPS |
|
|
Object Detection (HP)
|
100% |
9972
791.0 IPS |
|
|
Object Detection (Q)
|
88% |
22653
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
24761
294.2 IPS |
|
|
Face Detection (HP)
|
100% |
24675
293.2 IPS |
|
|
Face Detection (Q)
|
100% |
65015
772.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29321
225.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
30636
236.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
81361
633.2 IPS |
|
|
Style Transfer (SP)
|
100% |
88644
114.0 IPS |
|
|
Style Transfer (HP)
|
100% |
90345
116.1 IPS |
|
|
Style Transfer (Q)
|
98% |
322100
415.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16145
596.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16154
596.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
42425
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
5167
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
92% |
5917
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
9212
158.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9732
167.6 IPS |
|
|
Machine Translation (Q)
|
100% |
9969
171.7 IPS |
