Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
915
Single Precision Score
903
Half Precision Score
820
Quantized Score
Geekbench AI 1.2.0 Pro for Linux AVX2
Result Information
| User | Technologov |
| Upload Date | January 28 2025 07:54 AM |
| Views | 3 |
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% |
647
120.2 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.3 IPS |
|
|
Image Classification (Q)
|
99% |
487
90.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1033
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
629
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1606
1.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
1465
1.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2963
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (HP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (Q)
|
85% |
509
41.0 IPS |
|
|
Face Detection (SP)
|
100% |
1063
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (Q)
|
97% |
846
10.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1130
8.71 IPS |
|
|
Depth Estimation (HP)
|
99% |
1115
8.59 IPS |
|
|
Depth Estimation (Q)
|
63% |
962
9.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1829
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1806
2.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3633
4.68 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
611
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
612
22.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
492
657.2 IPS |
|
|
Text Classification (HP)
|
100% |
503
671.0 IPS |
|
|
Text Classification (Q)
|
92% |
318
426.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1025
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1099
18.9 IPS |
|
|
Machine Translation (Q)
|
58% |
341
8.00 IPS |
