ASUS System Product Name
Geekbench AI Score
3873
Single Precision Score
1489
Half Precision Score
7841
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | fallenursus |
| Upload Date | November 19 2025 03:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X3D |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-A GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3347
622.4 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
99% |
6950
1.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1502
24.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
11086
180.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8126
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
6412
7.48 IPS |
|
|
Pose Estimation (Q)
|
94% |
29142
34.2 IPS |
|
|
Object Detection (SP)
|
100% |
3177
252.0 IPS |
|
|
Object Detection (HP)
|
100% |
588
46.6 IPS |
|
|
Object Detection (Q)
|
86% |
7977
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
6361
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
1227
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
9702
115.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9283
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2162
16.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
16672
133.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17379
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
16280
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27288
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2157
79.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2065
76.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3706
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
1211
1.62 KIPS |
|
|
Text Classification (HP)
|
100% |
563
751.8 IPS |
|
|
Text Classification (Q)
|
97% |
1074
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2186
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
915
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2795
56.2 IPS |
