Ryzen 9950X3D - kernel 6.15.9 - PBO On Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
16161
Single Precision Score
16190
Half Precision Score
40276
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | agurenko |
| Upload Date | August 05 2025 11:30 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| 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% |
8226
1.53 KIPS |
|
|
Image Classification (HP)
|
100% |
8189
1.52 KIPS |
|
|
Image Classification (Q)
|
100% |
21738
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11122
180.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11109
180.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
31320
507.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
31786
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
31797
37.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
127290
149.0 IPS |
|
|
Object Detection (SP)
|
100% |
9457
750.1 IPS |
|
|
Object Detection (HP)
|
100% |
9535
756.4 IPS |
|
|
Object Detection (Q)
|
88% |
23685
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
24394
289.9 IPS |
|
|
Face Detection (HP)
|
100% |
24277
288.5 IPS |
|
|
Face Detection (Q)
|
100% |
67519
802.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27932
215.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
27967
215.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
76305
593.8 IPS |
|
|
Style Transfer (SP)
|
100% |
76635
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
77996
100.3 IPS |
|
|
Style Transfer (Q)
|
98% |
290997
375.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15196
561.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15150
559.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
43039
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
5721
7.64 KIPS |
|
|
Text Classification (HP)
|
100% |
5762
7.69 KIPS |
|
|
Text Classification (Q)
|
92% |
7253
9.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
9738
167.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9707
167.2 IPS |
|
|
Machine Translation (Q)
|
100% |
11695
201.5 IPS |
