iBuypower AMD
Geekbench AI Score
34394
Single Precision Score
55167
Half Precision Score
26563
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 15 2025 08:57 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | iBuypower AMD |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS PRO AC |
| Power Plan | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13114
2.44 KIPS |
|
|
Image Classification (HP)
|
100% |
17897
3.33 KIPS |
|
|
Image Classification (Q)
|
100% |
11556
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25623
415.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
34598
560.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22876
372.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
237752
277.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
721458
841.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
203245
238.1 IPS |
|
|
Object Detection (SP)
|
100% |
18004
1.43 KIPS |
|
|
Object Detection (HP)
|
100% |
26012
2.06 KIPS |
|
|
Object Detection (Q)
|
86% |
15503
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
54286
645.0 IPS |
|
|
Face Detection (HP)
|
100% |
77121
916.4 IPS |
|
|
Face Detection (Q)
|
97% |
44133
526.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
89614
690.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
162510
1.25 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66761
533.1 IPS |
|
|
Style Transfer (SP)
|
100% |
341086
438.5 IPS |
|
|
Style Transfer (HP)
|
100% |
1067120
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
300049
386.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51429
1.90 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75066
2.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39168
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
2991
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
2082
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
6311
108.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6333
109.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2913
54.6 IPS |
