Ryzen 9950X3D - kernel 6.15.9 - PBO On Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
6487
Single Precision Score
1237
Half Precision Score
12677
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | agurenko |
| Upload Date | August 05 2025 11:32 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D |
| System Information | |
|---|---|
| Operating System | Fedora Linux 42 (KDE Plasma Desktop Edition) |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.76 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2459
457.2 IPS |
|
|
Image Classification (HP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (Q)
|
97% |
10895
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3065
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
450
7.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
4667
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
25682
30.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10604
12.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
81493
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
3342
265.1 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
86% |
13618
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4893
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
447
5.32 IPS |
|
|
Face Detection (Q)
|
97% |
20326
242.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14822
114.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1231
9.48 IPS |
|
|
Depth Estimation (Q)
|
78% |
28391
226.5 IPS |
|
|
Style Transfer (SP)
|
100% |
48492
62.3 IPS |
|
|
Style Transfer (HP)
|
100% |
29885
38.4 IPS |
|
|
Style Transfer (Q)
|
98% |
38806
50.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4551
168.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6135
227.2 IPS |
|
|
Text Classification (SP)
|
100% |
3452
4.61 KIPS |
|
|
Text Classification (HP)
|
100% |
833
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
2264
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
6110
122.8 IPS |
