Ryzen 9 5950X Gigabyte Technology Co., Ltd. X570 AORUS ELITE
Geekbench AI Score
4324
Single Precision Score
1708
Half Precision Score
6834
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | temeteus82 |
| Upload Date | October 18 2025 02:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ELITE |
| Power Plan | Ultimate 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% |
3392
630.8 IPS |
|
|
Image Classification (HP)
|
100% |
580
107.9 IPS |
|
|
Image Classification (Q)
|
96% |
5917
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1912
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
827
13.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
8424
137.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9438
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6903
8.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
20466
24.2 IPS |
|
|
Object Detection (SP)
|
100% |
3540
280.8 IPS |
|
|
Object Detection (HP)
|
100% |
733
58.1 IPS |
|
|
Object Detection (Q)
|
58% |
4902
535.6 IPS |
|
|
Face Detection (SP)
|
100% |
7208
85.6 IPS |
|
|
Face Detection (HP)
|
100% |
1564
18.6 IPS |
|
|
Face Detection (Q)
|
96% |
10106
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10074
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2460
19.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15348
122.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21061
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
17864
23.0 IPS |
|
|
Style Transfer (Q)
|
87% |
21830
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2442
90.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2026
74.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4051
150.1 IPS |
|
|
Text Classification (SP)
|
100% |
1341
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.6 IPS |
|
|
Text Classification (Q)
|
97% |
1249
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
907
15.6 IPS |
|
|
Machine Translation (Q)
|
68% |
2596
50.1 IPS |
