ASUS System Product Name
Geekbench AI Score
20933
Single Precision Score
25975
Half Precision Score
11702
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Alan156 |
| Upload Date | April 26 2025 11:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA TITAN V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-F GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8325
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
9181
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
5250
976.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
14307
231.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20262
328.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8857
144.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
142181
165.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
244997
285.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
96738
113.3 IPS |
|
|
Object Detection (SP)
|
100% |
10728
851.0 IPS |
|
|
Object Detection (HP)
|
100% |
11764
933.1 IPS |
|
|
Object Detection (Q)
|
85% |
6573
529.2 IPS |
|
|
Face Detection (SP)
|
100% |
26883
319.4 IPS |
|
|
Face Detection (HP)
|
100% |
36727
436.4 IPS |
|
|
Face Detection (Q)
|
97% |
15601
186.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
51895
399.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
49782
384.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
27757
221.9 IPS |
|
|
Style Transfer (SP)
|
100% |
211977
272.5 IPS |
|
|
Style Transfer (HP)
|
100% |
303554
390.2 IPS |
|
|
Style Transfer (Q)
|
98% |
138983
179.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35767
1.32 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
35085
1.30 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17024
630.4 IPS |
|
|
Text Classification (SP)
|
100% |
2003
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
3317
4.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1133
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4198
72.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4039
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1404
26.3 IPS |
