Micro-Star International Co., Ltd. MS-7B09
Geekbench AI Score
894
Single Precision Score
541
Half Precision Score
995
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | RWR |
| Upload Date | November 11 2024 03:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 1920X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7B09 |
| Motherboard | Micro-Star International Co., Ltd. X399 SLI PLUS (MS-7B09) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 1920X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
432
80.3 IPS |
|
|
Image Classification (HP)
|
100% |
214
39.8 IPS |
|
|
Image Classification (Q)
|
96% |
761
142.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
292
4.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2012
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1666
1.94 IPS |
|
|
Pose Estimation (Q)
|
87% |
3171
3.75 IPS |
|
|
Object Detection (SP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (HP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
475
38.2 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (HP)
|
100% |
523
6.21 IPS |
|
|
Face Detection (Q)
|
96% |
1230
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2071
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
861
6.63 IPS |
|
|
Depth Estimation (Q)
|
77% |
1621
13.0 IPS |
|
|
Style Transfer (SP)
|
100% |
4941
6.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4759
6.12 IPS |
|
|
Style Transfer (Q)
|
87% |
4357
5.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
746
27.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
674
24.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
739
27.4 IPS |
|
|
Text Classification (SP)
|
100% |
439
585.6 IPS |
|
|
Text Classification (HP)
|
100% |
230
306.8 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.3 IPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
60% |
700
15.6 IPS |
