iBUYPOWER AMD
Geekbench AI Score
46473
Single Precision Score
70025
Half Precision Score
33999
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 12 2025 01:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | iBUYPOWER AMD |
| Motherboard | Micro-Star International Co., Ltd. X870 GAMING PLUS WIFI (MS-7E47) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X |
| 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% |
17109
3.18 KIPS |
|
|
Image Classification (HP)
|
100% |
21794
4.05 KIPS |
|
|
Image Classification (Q)
|
100% |
14428
2.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
33833
548.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
43086
698.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
31884
518.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
392867
458.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
925098
1.08 KIPS |
|
|
Pose Estimation (Q)
|
96% |
320222
375.1 IPS |
|
|
Object Detection (SP)
|
100% |
23881
1.89 KIPS |
|
|
Object Detection (HP)
|
100% |
31018
2.46 KIPS |
|
|
Object Detection (Q)
|
85% |
19155
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
73655
875.2 IPS |
|
|
Face Detection (HP)
|
100% |
100206
1.19 KIPS |
|
|
Face Detection (Q)
|
97% |
58359
695.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
104346
803.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
188954
1.46 KIPS |
|
|
Depth Estimation (Q)
|
77% |
72944
584.2 IPS |
|
|
Style Transfer (SP)
|
100% |
588956
757.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1690276
2.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
490675
632.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
74884
2.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
98511
3.64 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51694
1.91 KIPS |
|
|
Text Classification (SP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4989
6.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2282
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
6586
113.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6689
115.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2969
55.7 IPS |
