ASUS System Product Name
Geekbench AI Score
4553
Single Precision Score
1743
Half Precision Score
7094
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | LEFTERIS733 |
| Upload Date | August 01 2025 08:07 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B550M-PLUS (WI-FI) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3603
670.1 IPS |
|
|
Image Classification (HP)
|
100% |
581
108.0 IPS |
|
|
Image Classification (Q)
|
96% |
6021
1.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
849
13.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
8898
144.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10353
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
6957
8.12 IPS |
|
|
Pose Estimation (Q)
|
86% |
20598
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
3751
297.5 IPS |
|
|
Object Detection (HP)
|
100% |
742
58.9 IPS |
|
|
Object Detection (Q)
|
58% |
4982
544.3 IPS |
|
|
Face Detection (SP)
|
100% |
7375
87.6 IPS |
|
|
Face Detection (HP)
|
100% |
1599
19.0 IPS |
|
|
Face Detection (Q)
|
96% |
10483
125.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10570
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2517
19.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
16263
129.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21721
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
18661
24.0 IPS |
|
|
Style Transfer (Q)
|
87% |
22745
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2373
87.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2068
76.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4050
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
703
938.4 IPS |
|
|
Text Classification (Q)
|
97% |
1281
1.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
935
16.1 IPS |
|
|
Machine Translation (Q)
|
68% |
2919
56.4 IPS |
