ASUS System Product Name
Geekbench AI Score
8704
Single Precision Score
10286
Half Precision Score
6645
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:29 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2619
487.1 IPS |
|
|
Image Classification (HP)
|
100% |
3010
559.8 IPS |
|
|
Image Classification (Q)
|
100% |
2357
438.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4290
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4438
71.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3831
62.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
54184
63.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
90449
105.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
42605
49.9 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
86% |
2849
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
6751
80.2 IPS |
|
|
Face Detection (HP)
|
100% |
7477
88.8 IPS |
|
|
Face Detection (Q)
|
97% |
5934
70.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17519
135.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19338
149.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
14100
113.3 IPS |
|
|
Style Transfer (SP)
|
100% |
92913
119.4 IPS |
|
|
Style Transfer (HP)
|
100% |
145034
186.4 IPS |
|
|
Style Transfer (Q)
|
98% |
74330
95.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18869
696.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24712
912.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12352
457.4 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
2375
3.17 KIPS |
|
|
Text Classification (Q)
|
97% |
1305
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2925
50.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2865
49.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1528
28.7 IPS |
