ASUS System Product Name
Geekbench AI Score
6797
Single Precision Score
2862
Half Precision Score
13544
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | cmpepperdine |
| Upload Date | January 07 2026 06:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E HERO |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6155
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
99% |
13863
2.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1395
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
17005
276.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10924
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9315
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
46733
54.8 IPS |
|
|
Object Detection (SP)
|
100% |
6267
497.1 IPS |
|
|
Object Detection (HP)
|
100% |
1271
100.8 IPS |
|
|
Object Detection (Q)
|
86% |
13051
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
11234
133.5 IPS |
|
|
Face Detection (HP)
|
100% |
2890
34.3 IPS |
|
|
Face Detection (Q)
|
97% |
14657
174.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
16147
124.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3959
30.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
30717
245.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27848
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20251
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
38373
49.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4564
168.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3869
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6896
255.4 IPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1420
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
2489
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4678
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1516
26.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4873
97.9 IPS |
