ASUS System Product Name
Geekbench AI Score
4101
Single Precision Score
1549
Half Precision Score
8608
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 12 2025 09:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3306
614.8 IPS |
|
|
Image Classification (HP)
|
100% |
555
103.1 IPS |
|
|
Image Classification (Q)
|
99% |
7984
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1879
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
12238
199.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (Q)
|
94% |
27832
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3335
264.5 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
8139
654.1 IPS |
|
|
Face Detection (SP)
|
100% |
6130
72.8 IPS |
|
|
Face Detection (HP)
|
100% |
1286
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
10687
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9017
69.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2113
16.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16920
135.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17302
22.2 IPS |
|
|
Style Transfer (HP)
|
100% |
16300
21.0 IPS |
|
|
Style Transfer (Q)
|
98% |
29707
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2375
87.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2075
76.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4381
162.2 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
610
814.0 IPS |
|
|
Text Classification (Q)
|
97% |
1326
1.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2235
38.5 IPS |
|
|
Machine Translation (HP)
|
100% |
811
14.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3236
65.0 IPS |
