ASUS System Product Name
Geekbench AI Score
2070
Single Precision Score
2263
Half Precision Score
1695
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lothlorien |
| Upload Date | August 30 2025 08:52 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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 9950X3D |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
710
132.1 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (Q)
|
100% |
703
130.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1214
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1050
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6793
7.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
11217
13.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
6148
7.20 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.3 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.4 IPS |
|
|
Object Detection (Q)
|
87% |
720
57.9 IPS |
|
|
Face Detection (SP)
|
100% |
2418
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
2229
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3940
30.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4780
36.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
3462
27.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11479
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16586
21.3 IPS |
|
|
Style Transfer (Q)
|
98% |
10187
13.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2882
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2206
81.7 IPS |
|
|
Text Classification (SP)
|
100% |
758
1.01 KIPS |
|
|
Text Classification (HP)
|
100% |
940
1.26 KIPS |
|
|
Text Classification (Q)
|
97% |
531
711.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1325
22.8 IPS |
|
|
Machine Translation (Q)
|
70% |
652
12.2 IPS |
