ASUS System Product Name
Geekbench AI Score
34537
Single Precision Score
37498
Half Precision Score
25572
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | August 02 2025 04:33 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6950 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14410
2.68 KIPS |
|
|
Image Classification (HP)
|
100% |
13899
2.58 KIPS |
|
|
Image Classification (Q)
|
99% |
11571
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23984
388.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19073
309.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
19494
317.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
220684
257.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
333815
389.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
183291
214.8 IPS |
|
|
Object Detection (SP)
|
100% |
16158
1.28 KIPS |
|
|
Object Detection (HP)
|
100% |
16155
1.28 KIPS |
|
|
Object Detection (Q)
|
87% |
13140
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
46193
548.9 IPS |
|
|
Face Detection (HP)
|
100% |
49206
584.7 IPS |
|
|
Face Detection (Q)
|
97% |
35952
428.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
79181
610.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
85330
657.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
58256
467.8 IPS |
|
|
Style Transfer (SP)
|
100% |
389255
500.4 IPS |
|
|
Style Transfer (HP)
|
100% |
526468
676.8 IPS |
|
|
Style Transfer (Q)
|
98% |
309656
399.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46604
1.72 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53585
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33258
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
4498
6.00 KIPS |
|
|
Text Classification (HP)
|
100% |
4772
6.37 KIPS |
|
|
Text Classification (Q)
|
97% |
2899
3.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
6565
113.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6802
117.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3521
66.0 IPS |
