ASUS System Product Name
Geekbench AI Score
34354
Single Precision Score
37671
Half Precision Score
25446
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | drive5600x |
| Upload Date | July 21 2025 12:46 AM |
| Views | 12 |
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% |
14343
2.67 KIPS |
|
|
Image Classification (HP)
|
100% |
14007
2.60 KIPS |
|
|
Image Classification (Q)
|
99% |
11459
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24119
391.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19188
311.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
19606
318.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
215018
250.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
331104
386.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
179503
210.3 IPS |
|
|
Object Detection (SP)
|
100% |
15983
1.27 KIPS |
|
|
Object Detection (HP)
|
100% |
16429
1.30 KIPS |
|
|
Object Detection (Q)
|
87% |
13161
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
46416
551.5 IPS |
|
|
Face Detection (HP)
|
100% |
49648
589.9 IPS |
|
|
Face Detection (Q)
|
97% |
35929
428.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
78751
606.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
85172
656.2 IPS |
|
|
Depth Estimation (Q)
|
76% |
58574
470.3 IPS |
|
|
Style Transfer (SP)
|
100% |
390417
501.9 IPS |
|
|
Style Transfer (HP)
|
100% |
528687
679.6 IPS |
|
|
Style Transfer (Q)
|
98% |
310858
400.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
46395
1.71 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54627
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33585
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
4359
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
4663
6.22 KIPS |
|
|
Text Classification (Q)
|
97% |
2749
3.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
6675
115.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6914
119.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3551
66.6 IPS |
