ASUS System Product Name
Geekbench AI Score
16588
Single Precision Score
16552
Half Precision Score
38466
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 31 2026 03:30 PM |
| Views | 8 |
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% |
10230
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10232
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
23557
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11544
187.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11454
185.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
28868
468.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20002
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20057
23.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
78891
92.4 IPS |
|
|
Object Detection (SP)
|
100% |
10494
832.4 IPS |
|
|
Object Detection (HP)
|
100% |
10500
832.8 IPS |
|
|
Object Detection (Q)
|
88% |
25379
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
32638
387.8 IPS |
|
|
Face Detection (HP)
|
100% |
32654
388.0 IPS |
|
|
Face Detection (Q)
|
100% |
64406
765.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27354
210.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27237
209.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
71397
555.6 IPS |
|
|
Style Transfer (SP)
|
100% |
56529
72.7 IPS |
|
|
Style Transfer (HP)
|
100% |
56932
73.2 IPS |
|
|
Style Transfer (Q)
|
98% |
198629
256.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12362
456.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12391
457.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
36110
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
7581
10.1 KIPS |
|
|
Text Classification (HP)
|
100% |
7494
10.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9945
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
13457
231.8 IPS |
|
|
Machine Translation (HP)
|
100% |
13307
229.2 IPS |
|
|
Machine Translation (Q)
|
100% |
15883
273.6 IPS |
