Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
1222
Single Precision Score
1218
Half Precision Score
954
Quantized Score
Geekbench AI 1.5.0 for Linux AVX2
Result Information
| User | bhokaal |
| Upload Date | September 17 2025 01:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
683
127.0 IPS |
|
|
Image Classification (HP)
|
100% |
775
144.0 IPS |
|
|
Image Classification (Q)
|
99% |
583
108.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
824
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1943
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1916
2.24 IPS |
|
|
Pose Estimation (Q)
|
96% |
2415
2.83 IPS |
|
|
Object Detection (SP)
|
100% |
909
72.1 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
85% |
653
52.6 IPS |
|
|
Face Detection (SP)
|
100% |
1415
16.8 IPS |
|
|
Face Detection (HP)
|
100% |
1395
16.6 IPS |
|
|
Face Detection (Q)
|
97% |
1181
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1562
12.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1435
11.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1222
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2659
3.42 IPS |
|
|
Style Transfer (HP)
|
100% |
2722
3.50 IPS |
|
|
Style Transfer (Q)
|
98% |
4110
5.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
728
26.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
743
27.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
911
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (Q)
|
92% |
381
511.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1315
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1292
22.3 IPS |
|
|
Machine Translation (Q)
|
58% |
401
9.40 IPS |
