ASUS System Product Name
Geekbench AI Score
36314
Single Precision Score
38975
Half Precision Score
28060
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 16 2025 08:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X870-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14066
2.62 KIPS |
|
|
Image Classification (HP)
|
100% |
14135
2.63 KIPS |
|
|
Image Classification (Q)
|
99% |
11962
2.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25910
420.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22963
372.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
23452
381.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
293808
342.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
414769
484.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
260221
304.8 IPS |
|
|
Object Detection (SP)
|
100% |
18859
1.50 KIPS |
|
|
Object Detection (HP)
|
99% |
18437
1.46 KIPS |
|
|
Object Detection (Q)
|
87% |
14060
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
50599
601.2 IPS |
|
|
Face Detection (HP)
|
100% |
53992
641.5 IPS |
|
|
Face Detection (Q)
|
97% |
44115
526.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
77897
600.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87491
674.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
61907
496.1 IPS |
|
|
Style Transfer (SP)
|
100% |
470442
604.8 IPS |
|
|
Style Transfer (HP)
|
100% |
656809
844.3 IPS |
|
|
Style Transfer (Q)
|
98% |
417507
538.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53689
1.98 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61263
2.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41026
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
4167
5.56 KIPS |
|
|
Text Classification (HP)
|
100% |
3587
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2489
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4761
82.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (Q)
|
70% |
2533
47.5 IPS |
