ASUS System Product Name
Geekbench AI Score
16549
Single Precision Score
16543
Half Precision Score
38194
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | domdtxdissar |
| Upload Date | January 31 2026 03:27 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% |
10212
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10201
1.90 KIPS |
|
|
Image Classification (Q)
|
100% |
23464
4.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11560
187.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11549
187.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
27104
439.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
19998
23.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20155
23.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
78380
91.8 IPS |
|
|
Object Detection (SP)
|
100% |
10329
819.3 IPS |
|
|
Object Detection (HP)
|
100% |
10404
825.3 IPS |
|
|
Object Detection (Q)
|
88% |
25316
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
32272
383.5 IPS |
|
|
Face Detection (HP)
|
100% |
32359
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
64451
765.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
27376
210.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
27215
209.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
71331
555.1 IPS |
|
|
Style Transfer (SP)
|
100% |
56864
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
55944
71.9 IPS |
|
|
Style Transfer (Q)
|
98% |
199139
256.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12472
460.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12460
460.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
35934
1.33 KIPS |
|
|
Text Classification (SP)
|
100% |
7502
10.0 KIPS |
|
|
Text Classification (HP)
|
100% |
7498
10.0 KIPS |
|
|
Text Classification (Q)
|
92% |
9974
13.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
13443
231.6 IPS |
|
|
Machine Translation (HP)
|
100% |
13503
232.6 IPS |
|
|
Machine Translation (Q)
|
100% |
15957
274.9 IPS |
