ASUS System Product Name
Geekbench AI Score
4234
Single Precision Score
1610
Half Precision Score
6456
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | rsabatino20 |
| Upload Date | September 27 2025 06:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-XE GAMING WIFI |
| Power Plan | GameTurbo (High Performance) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3549
659.9 IPS |
|
|
Image Classification (HP)
|
100% |
591
109.9 IPS |
|
|
Image Classification (Q)
|
96% |
6515
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
833
13.5 IPS |
|
|
Image Segmentation (Q)
|
97% |
8977
146.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9921
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7070
8.25 IPS |
|
|
Pose Estimation (Q)
|
86% |
20294
24.0 IPS |
|
|
Object Detection (SP)
|
100% |
3633
288.2 IPS |
|
|
Object Detection (HP)
|
100% |
737
58.5 IPS |
|
|
Object Detection (Q)
|
58% |
4966
542.6 IPS |
|
|
Face Detection (SP)
|
100% |
7179
85.3 IPS |
|
|
Face Detection (HP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (Q)
|
96% |
10433
124.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11197
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2511
19.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
16125
128.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20878
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
17702
22.8 IPS |
|
|
Style Transfer (Q)
|
87% |
19174
25.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1759
64.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1675
61.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3069
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
494
658.9 IPS |
|
|
Text Classification (Q)
|
97% |
955
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1800
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2259
43.6 IPS |
