Ryzen 9950X3D - kernel 6.15.9 - PBO On Micro-Star International Co., Ltd. MS-7E59
Geekbench AI Score
3335
Single Precision Score
3385
Half Precision Score
2899
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | agurenko |
| Upload Date | August 05 2025 11:27 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
2252
418.8 IPS |
|
|
Image Classification (HP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (Q)
|
99% |
2173
405.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3927
63.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3716
60.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1920
31.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4719
5.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
7385
8.65 IPS |
|
|
Object Detection (SP)
|
100% |
2532
200.8 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
85% |
2544
204.8 IPS |
|
|
Face Detection (SP)
|
100% |
4072
48.4 IPS |
|
|
Face Detection (HP)
|
100% |
4127
49.0 IPS |
|
|
Face Detection (Q)
|
97% |
4426
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3587
27.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4108
31.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3512
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
5028
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
4877
6.27 IPS |
|
|
Style Transfer (Q)
|
98% |
10212
13.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2499
92.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2511
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3093
114.6 IPS |
|
|
Text Classification (SP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2059
2.75 KIPS |
|
|
Text Classification (Q)
|
92% |
1155
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4448
76.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4154
71.5 IPS |
|
|
Machine Translation (Q)
|
58% |
945
22.2 IPS |
