ASUS System Product Name
Geekbench AI Score
6430
Single Precision Score
2447
Half Precision Score
11924
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | wisetm |
| Upload Date | February 10 2026 02:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4895
910.3 IPS |
|
|
Image Classification (HP)
|
100% |
771
143.3 IPS |
|
|
Image Classification (Q)
|
99% |
12371
2.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2256
36.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16651
270.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15708
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
12171
14.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
57683
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
4962
393.6 IPS |
|
|
Object Detection (HP)
|
100% |
966
76.6 IPS |
|
|
Object Detection (Q)
|
86% |
12054
968.8 IPS |
|
|
Face Detection (SP)
|
100% |
11137
132.3 IPS |
|
|
Face Detection (HP)
|
100% |
2003
23.8 IPS |
|
|
Face Detection (Q)
|
97% |
13669
163.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
16471
126.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3308
25.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
27423
218.8 IPS |
|
|
Style Transfer (SP)
|
100% |
31773
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
27044
34.8 IPS |
|
|
Style Transfer (Q)
|
98% |
47277
61.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3532
130.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3484
128.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3760
139.2 IPS |
|
|
Text Classification (SP)
|
100% |
2263
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
846
1.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4236
85.1 IPS |
