ASUS System Product Name
Geekbench AI Score
35675
Single Precision Score
50044
Half Precision Score
30550
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | teknoseyir |
| Upload Date | June 20 2025 02:34 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME B650M-R |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16402
3.05 KIPS |
|
|
Image Classification (HP)
|
100% |
18527
3.45 KIPS |
|
|
Image Classification (Q)
|
99% |
15434
2.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19292
312.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
22634
366.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
25012
406.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
203981
238.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
635857
741.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
189889
222.4 IPS |
|
|
Object Detection (SP)
|
100% |
17585
1.39 KIPS |
|
|
Object Detection (HP)
|
99% |
21161
1.68 KIPS |
|
|
Object Detection (Q)
|
87% |
16306
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
53477
635.4 IPS |
|
|
Face Detection (HP)
|
100% |
63984
760.3 IPS |
|
|
Face Detection (Q)
|
97% |
47239
563.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
86340
665.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
129503
997.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
71951
576.6 IPS |
|
|
Style Transfer (SP)
|
100% |
378820
487.0 IPS |
|
|
Style Transfer (HP)
|
100% |
706821
908.6 IPS |
|
|
Style Transfer (Q)
|
98% |
344557
444.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51309
1.89 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
83717
3.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42953
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4577
6.11 KIPS |
|
|
Text Classification (HP)
|
100% |
4962
6.62 KIPS |
|
|
Text Classification (Q)
|
97% |
2989
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
7163
123.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7178
123.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3941
73.9 IPS |
