ASUS System Product Name
Geekbench AI Score
5436
Single Precision Score
2454
Half Precision Score
11228
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 08 2026 10:28 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4176
776.5 IPS |
|
|
Image Classification (HP)
|
100% |
825
153.5 IPS |
|
|
Image Classification (Q)
|
99% |
10917
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15418
250.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14608
17.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10971
12.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
55665
65.3 IPS |
|
|
Object Detection (SP)
|
100% |
4208
333.7 IPS |
|
|
Object Detection (HP)
|
100% |
1021
81.0 IPS |
|
|
Object Detection (Q)
|
86% |
11741
943.6 IPS |
|
|
Face Detection (SP)
|
100% |
7485
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (Q)
|
97% |
13973
166.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12822
98.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3564
27.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
25223
201.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28164
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24046
30.9 IPS |
|
|
Style Transfer (Q)
|
98% |
36759
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3449
127.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3149
116.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3425
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
1970
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1175
20.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3820
76.8 IPS |
