ASUS System Product Name
Geekbench AI Score
14440
Single Precision Score
14640
Half Precision Score
34299
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | 11eaven |
| Upload Date | November 19 2025 11:35 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 HERO |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7385
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7324
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
17977
3.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9979
161.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9905
160.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26901
436.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
29379
34.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
29787
34.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
118438
138.7 IPS |
|
|
Object Detection (SP)
|
100% |
8631
684.7 IPS |
|
|
Object Detection (HP)
|
100% |
8522
676.0 IPS |
|
|
Object Detection (Q)
|
88% |
20453
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
18214
216.4 IPS |
|
|
Face Detection (HP)
|
100% |
19293
229.2 IPS |
|
|
Face Detection (Q)
|
100% |
53741
638.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
24798
191.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25161
193.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
67567
525.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76303
98.1 IPS |
|
|
Style Transfer (HP)
|
100% |
77491
99.6 IPS |
|
|
Style Transfer (Q)
|
98% |
275405
355.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14560
537.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14924
551.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
38448
1.42 KIPS |
|
|
Text Classification (SP)
|
100% |
4893
6.53 KIPS |
|
|
Text Classification (HP)
|
100% |
5049
6.74 KIPS |
|
|
Text Classification (Q)
|
92% |
5584
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
8593
148.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8666
149.3 IPS |
|
|
Machine Translation (Q)
|
100% |
8960
154.3 IPS |
