Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
1433
Single Precision Score
333
Half Precision Score
1952
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | bhokaal |
| Upload Date | September 17 2025 01:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2950X |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Micro-Star International Co., Ltd. MS-7B09 |
| Motherboard | Micro-Star International Co., Ltd X399 GAMING PRO CARBON AC (MS-7B09) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.22 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
74
13.7 IPS |
|
|
Image Classification (Q)
|
94% |
1691
316.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
508
8.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
121
1.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1262
20.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3796
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1823
2.13 IPS |
|
|
Pose Estimation (Q)
|
86% |
3764
4.45 IPS |
|
|
Object Detection (SP)
|
100% |
935
74.2 IPS |
|
|
Object Detection (HP)
|
100% |
94
7.47 IPS |
|
|
Object Detection (Q)
|
58% |
1280
139.9 IPS |
|
|
Face Detection (SP)
|
100% |
1306
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
181
2.15 IPS |
|
|
Face Detection (Q)
|
96% |
4563
54.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3931
30.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
454
3.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
4076
32.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9185
11.8 IPS |
|
|
Style Transfer (HP)
|
100% |
4985
6.41 IPS |
|
|
Style Transfer (Q)
|
87% |
9075
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
750
27.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
955
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
615
821.2 IPS |
|
|
Text Classification (HP)
|
100% |
182
242.3 IPS |
|
|
Text Classification (Q)
|
97% |
485
650.0 IPS |
|
|
Machine Translation (SP)
|
100% |
898
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
198
3.41 IPS |
|
|
Machine Translation (Q)
|
68% |
1000
19.3 IPS |
