ASUS System Product Name
Geekbench AI Score
37361
Single Precision Score
52946
Half Precision Score
32030
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kiyanbaux |
| Upload Date | April 27 2025 03:20 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B650E-I GAMING WIFI |
| Power Plan | 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% |
17659
3.28 KIPS |
|
|
Image Classification (HP)
|
100% |
19895
3.70 KIPS |
|
|
Image Classification (Q)
|
99% |
16505
3.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19362
313.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
22642
367.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
25129
408.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
218968
255.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
662104
772.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
197932
231.8 IPS |
|
|
Object Detection (SP)
|
100% |
16256
1.29 KIPS |
|
|
Object Detection (HP)
|
99% |
22577
1.79 KIPS |
|
|
Object Detection (Q)
|
87% |
15033
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
54824
651.4 IPS |
|
|
Face Detection (HP)
|
100% |
66433
789.4 IPS |
|
|
Face Detection (Q)
|
97% |
48377
576.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
89086
686.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
133931
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73941
592.5 IPS |
|
|
Style Transfer (SP)
|
100% |
409997
527.1 IPS |
|
|
Style Transfer (HP)
|
100% |
747189
960.5 IPS |
|
|
Style Transfer (Q)
|
98% |
375007
483.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55326
2.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91296
3.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45985
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
5265
7.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5617
7.50 KIPS |
|
|
Text Classification (Q)
|
97% |
3622
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
7466
128.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7542
129.9 IPS |
|
|
Machine Translation (Q)
|
70% |
4123
77.3 IPS |
