ASUS System Product Name
Geekbench AI Score
15569
Single Precision Score
15550
Half Precision Score
37137
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | PickleRickk |
| Upload Date | January 25 2026 07:55 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (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 9800X3D |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9668
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
9569
1.78 KIPS |
|
|
Image Classification (Q)
|
100% |
22729
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10787
174.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
10518
170.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
28293
458.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19356
22.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19385
22.6 IPS |
|
|
Pose Estimation (Q)
|
98% |
76454
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
9884
784.0 IPS |
|
|
Object Detection (HP)
|
100% |
9980
791.6 IPS |
|
|
Object Detection (Q)
|
88% |
24408
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
27920
331.7 IPS |
|
|
Face Detection (HP)
|
100% |
27602
328.0 IPS |
|
|
Face Detection (Q)
|
100% |
62141
738.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
25894
199.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
25980
200.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
70001
544.7 IPS |
|
|
Style Transfer (SP)
|
100% |
54015
69.4 IPS |
|
|
Style Transfer (HP)
|
100% |
53948
69.4 IPS |
|
|
Style Transfer (Q)
|
98% |
192743
248.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11988
442.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11840
437.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34902
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
7039
9.40 KIPS |
|
|
Text Classification (HP)
|
100% |
7119
9.50 KIPS |
|
|
Text Classification (Q)
|
92% |
9773
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
12730
219.3 IPS |
|
|
Machine Translation (HP)
|
100% |
13020
224.3 IPS |
|
|
Machine Translation (Q)
|
100% |
14543
250.5 IPS |
