ASUS System Product Name
Geekbench AI Score
15295
Single Precision Score
15353
Half Precision Score
36412
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | draytek11 |
| Upload Date | April 27 2025 12:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (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% |
7036
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
7534
1.40 KIPS |
|
|
Image Classification (Q)
|
100% |
19362
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10125
164.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10574
171.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
28798
466.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
32208
37.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
31894
37.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
127102
148.8 IPS |
|
|
Object Detection (SP)
|
100% |
9257
734.3 IPS |
|
|
Object Detection (HP)
|
100% |
9347
741.4 IPS |
|
|
Object Detection (Q)
|
88% |
22054
1.77 KIPS |
|
|
Face Detection (SP)
|
100% |
20614
244.9 IPS |
|
|
Face Detection (HP)
|
100% |
19546
232.2 IPS |
|
|
Face Detection (Q)
|
100% |
52690
626.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
26417
203.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25250
194.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
73197
569.7 IPS |
|
|
Style Transfer (SP)
|
100% |
83237
107.0 IPS |
|
|
Style Transfer (HP)
|
100% |
84399
108.5 IPS |
|
|
Style Transfer (Q)
|
98% |
293466
378.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15037
555.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15568
574.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40048
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
5280
7.05 KIPS |
|
|
Text Classification (HP)
|
100% |
5230
6.98 KIPS |
|
|
Text Classification (Q)
|
92% |
6109
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
9168
157.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9040
155.7 IPS |
|
|
Machine Translation (Q)
|
100% |
9467
163.1 IPS |
