ASUS System Product Name
Geekbench AI Score
8728
Single Precision Score
3401
Half Precision Score
14821
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | TakeWhatUcan |
| Upload Date | March 21 2026 11:32 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balanced |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6239
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
1065
198.1 IPS |
|
|
Image Classification (Q)
|
99% |
13949
2.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2545
41.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21646
352.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
29836
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19532
22.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
93545
109.7 IPS |
|
|
Object Detection (SP)
|
100% |
6552
519.7 IPS |
|
|
Object Detection (HP)
|
100% |
1366
108.4 IPS |
|
|
Object Detection (Q)
|
86% |
16587
1.33 KIPS |
|
|
Face Detection (SP)
|
100% |
12027
142.9 IPS |
|
|
Face Detection (HP)
|
100% |
2939
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
16972
202.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23235
179.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4926
38.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
37329
297.9 IPS |
|
|
Style Transfer (SP)
|
100% |
54097
69.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41255
53.0 IPS |
|
|
Style Transfer (Q)
|
98% |
64445
83.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4204
155.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2394
88.6 IPS |
|
|
Text Classification (SP)
|
100% |
2455
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2025
2.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4128
71.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1524
26.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5518
110.9 IPS |
