Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
895
Single Precision Score
909
Half Precision Score
823
Quantized Score
Geekbench AI 1.2.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | January 28 2025 08:01 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 2990WX |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Micro-Star International Co., Ltd. MS-7B09 |
| Motherboard | Micro-Star International Co., Ltd. X399 SLI PLUS (MS-7B09) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 2990WX |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 23 Model 8 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.75 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
658
122.4 IPS |
|
|
Image Classification (HP)
|
100% |
601
111.8 IPS |
|
|
Image Classification (Q)
|
99% |
488
91.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
667
10.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1451
1.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
1664
1.94 IPS |
|
|
Pose Estimation (Q)
|
96% |
2694
3.16 IPS |
|
|
Object Detection (SP)
|
100% |
583
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
702
55.7 IPS |
|
|
Object Detection (Q)
|
85% |
546
44.0 IPS |
|
|
Face Detection (SP)
|
100% |
921
10.9 IPS |
|
|
Face Detection (HP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
818
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
1083
8.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
1034
7.97 IPS |
|
|
Depth Estimation (Q)
|
63% |
998
9.36 IPS |
|
|
Style Transfer (SP)
|
100% |
2029
2.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1814
2.33 IPS |
|
|
Style Transfer (Q)
|
98% |
3475
4.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
623
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
631
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
939
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
478
638.5 IPS |
|
|
Text Classification (HP)
|
100% |
493
657.9 IPS |
|
|
Text Classification (Q)
|
92% |
326
437.3 IPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
948
16.3 IPS |
|
|
Machine Translation (Q)
|
58% |
345
8.10 IPS |
