| User | Yollidon |
| Upload Date | January 06 2026 12:14 PM |
| Views | 7 |
| Notes | First Geekbench test. |
| 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. X570S AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AORUS ELITE AX |
| Power Plan | ChrisTitus - Ultimate Power Plan |
| 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 | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2503
465.5 IPS |
|
|
Image Classification (HP)
|
100% |
538
100.0 IPS |
|
|
Image Classification (Q)
|
96% |
5488
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
6280
102.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6919
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5699
6.65 IPS |
|
|
Pose Estimation (Q)
|
86% |
13093
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
3337
264.7 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (Q)
|
58% |
3770
411.9 IPS |
|
|
Face Detection (SP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (HP)
|
100% |
1259
15.0 IPS |
|
|
Face Detection (Q)
|
96% |
8774
104.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8931
68.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1781
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11919
95.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16929
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14549
18.7 IPS |
|
|
Style Transfer (Q)
|
87% |
15053
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2207
81.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3566
132.1 IPS |
|
|
Text Classification (SP)
|
100% |
1580
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
724
966.2 IPS |
|
|
Text Classification (Q)
|
97% |
1148
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
752
13.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2853
55.1 IPS |