ASUS System Product Name
Geekbench AI Score
6885
Single Precision Score
2903
Half Precision Score
12247
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | MrSolenoid |
| Upload Date | August 05 2025 01:25 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-PLUS WIFI |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4709
875.8 IPS |
|
|
Image Classification (HP)
|
100% |
932
173.4 IPS |
|
|
Image Classification (Q)
|
99% |
12182
2.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1564
25.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1452
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16827
273.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
26968
31.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16443
19.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
77982
91.4 IPS |
|
|
Object Detection (SP)
|
100% |
4681
371.3 IPS |
|
|
Object Detection (HP)
|
100% |
1179
93.5 IPS |
|
|
Object Detection (Q)
|
86% |
13300
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
9221
109.6 IPS |
|
|
Face Detection (HP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (Q)
|
97% |
14023
167.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18409
141.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4286
33.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
31425
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44700
57.5 IPS |
|
|
Style Transfer (HP)
|
100% |
34874
44.8 IPS |
|
|
Style Transfer (Q)
|
98% |
39723
51.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4522
167.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3519
129.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2532
93.8 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
953
1.27 KIPS |
|
|
Text Classification (Q)
|
97% |
1854
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3606
62.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1322
22.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4346
87.3 IPS |
