iBuypower AMD
Geekbench AI Score
3490
Single Precision Score
1609
Half Precision Score
5698
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | brendancarey33 |
| Upload Date | November 20 2025 02:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | iBuypower AMD |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS ELITE AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2128
395.8 IPS |
|
|
Image Classification (HP)
|
100% |
602
111.9 IPS |
|
|
Image Classification (Q)
|
96% |
5378
1.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (Q)
|
97% |
6233
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4299
5.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
11982
14.2 IPS |
|
|
Object Detection (SP)
|
100% |
2766
219.4 IPS |
|
|
Object Detection (HP)
|
100% |
770
61.1 IPS |
|
|
Object Detection (Q)
|
58% |
3588
392.0 IPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
1555
18.5 IPS |
|
|
Face Detection (Q)
|
96% |
8013
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7153
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2069
15.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
10963
87.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13252
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11044
14.2 IPS |
|
|
Style Transfer (Q)
|
87% |
13940
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2337
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2029
74.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4357
161.5 IPS |
|
|
Text Classification (SP)
|
100% |
2110
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
998
1.33 KIPS |
|
|
Text Classification (Q)
|
97% |
1503
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2355
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (Q)
|
68% |
3127
60.4 IPS |
