ASUS System Product Name
Geekbench AI Score
16511
Single Precision Score
16513
Half Precision Score
38284
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 31 2026 03:37 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9850X3D 8-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 | Revision - Ultra Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9850X3D 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10203
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10191
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
23271
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11496
186.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11534
187.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
28892
468.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19937
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19876
23.2 IPS |
|
|
Pose Estimation (Q)
|
98% |
78668
92.1 IPS |
|
|
Object Detection (SP)
|
100% |
10453
829.1 IPS |
|
|
Object Detection (HP)
|
100% |
10441
828.2 IPS |
|
|
Object Detection (Q)
|
88% |
25153
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
31946
379.6 IPS |
|
|
Face Detection (HP)
|
100% |
32164
382.2 IPS |
|
|
Face Detection (Q)
|
100% |
64127
762.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
27337
210.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
27477
211.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
71404
555.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56346
72.4 IPS |
|
|
Style Transfer (HP)
|
100% |
56368
72.5 IPS |
|
|
Style Transfer (Q)
|
98% |
198880
256.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12413
458.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12332
455.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35547
1.32 KIPS |
|
|
Text Classification (SP)
|
100% |
7511
10.0 KIPS |
|
|
Text Classification (HP)
|
100% |
7546
10.1 KIPS |
|
|
Text Classification (Q)
|
92% |
9832
13.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
13430
231.3 IPS |
|
|
Machine Translation (HP)
|
100% |
13332
229.6 IPS |
|
|
Machine Translation (Q)
|
100% |
15975
275.2 IPS |
