ASUS System Product Name
Geekbench AI Score
6751
Single Precision Score
2645
Half Precision Score
13566
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | January 31 2026 05:23 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B850-F GAMING WIFI |
| Power Plan | High 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5716
1.06 KIPS |
|
|
Image Classification (HP)
|
100% |
1027
191.0 IPS |
|
|
Image Classification (Q)
|
99% |
13080
2.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2344
38.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1467
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
15493
251.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10150
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
8264
9.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
41848
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
5310
421.2 IPS |
|
|
Object Detection (HP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (Q)
|
86% |
13551
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
15651
186.0 IPS |
|
|
Face Detection (HP)
|
100% |
2513
29.9 IPS |
|
|
Face Detection (Q)
|
97% |
14890
177.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12424
95.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3726
28.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
31562
251.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23578
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
17926
23.0 IPS |
|
|
Style Transfer (Q)
|
98% |
41295
53.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3438
127.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7132
264.1 IPS |
|
|
Text Classification (SP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
1409
1.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2464
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
4842
83.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1445
24.9 IPS |
|
|
Machine Translation (Q)
|
65% |
5387
108.2 IPS |
